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ORCIDGECCO 2019: Prague, Czech Republic - Companion Material
- Manuel López-Ibáñez, Anne Auger, Thomas Stützle:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019, Prague, Czech Republic, July 13-17, 2019. ACM 2019, ISBN 978-1-4503-6748-6
Competition entry: Competition internet of things - Online event detection for drinking water quality control
- Victor Henrique Alves Ribeiro
, Gilberto Reynoso-Meza:
Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach. 1-2
Competition entry: Competition 100-digit challenge
- Quoc Bao Diep, Ivan Zelinka, Swagatam Das:
Self-organizing migrating algorithm for the 100-digit challenge. 3-4 - Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
L-SHADE with an adaptive penalty method of balancing the objective value and the constraint violation. 5-6 - Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale:
Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization. 7-8 - Tao Xu, Jun He, Changjing Shang:
Helper and equivalent objective different evolution for constrained optimisation. 9-10 - Ales Zamuda:
Function evaluations upto 1e+12 and large population sizes assessed in distance-based success history differential evolution for 100-digit challenge and numerical optimization scenarios (DISHchain 1e+12): a competition entry for "100-digit challenge, and four other numerical optimization competitions" at the genetic and evolutionary computation conference (CECCO) 2019. 11-12
Competition entry: Competition evolutionary computation in uncertain environments - A smart grid application
- Yoan Martínez López, Ansel Y. Rodríguez-González, Julio Madera Quintana, Alexis Moya, Bismay Morgado, Miguel Betancourt Mayedo:
CUMDANCauchy-C1: a cellular EDA designed to solve the energy resource management problem under uncertainty. 13-14
Competition entry: Competition AI competition for the legends of the three kingdoms game
- Youjie Zhang, Xiang Ding, Zhi Chen:
Solving legends of the three kingdoms based on hierarchical macro strategy model. 15-16
Hot off the press
- Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena:
Gaussian process surrogate models for the CMA-ES. 17-18 - Roman Denysiuk, António Gaspar-Cunha, Alexandre C. B. Delbem:
Combining artificial neural networks and evolution to solve multiobjective knapsack problems. 19-20 - Tome Eftimov, Peter Korosec:
Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. 21-22 - Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Generating interpretable reinforcement learning policies using genetic programming. 23-24 - Johannes Lengler, Anders Martinsson, Angelika Steger:
The (1 + 1)-EA with mutation rate (1 + ϵ)/n is efficient on monotone functions: an entropy compression argument. (hot-off-the-press track at GECCO 2019). 25-26 - Krzysztof Michalak:
Low-Dimensional euclidean embedding for visualization of search spaces in combinatorial optimization. 27-28 - Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper:
Discovering test statistics using genetic programming. 29-30 - Patryk Orzechowski, Jason H. Moore:
EBIC: a scalable biclustering method for large scale data analysis. 31-32 - Inês Soares, Maria João Alves, Carlos Henggeler Antunes:
A bi-level hybrid PSO: MIP solver approach to define dynamic tariffs and estimate bounds for an electricity retailer profit. 33-34 - Jerry Swan, Krzysztof Krawiec, Zoltan A. Kocsis:
Stochastic program synthesis via recursion schemes. 35-36 - William B. Yates, Edward C. Keedwell:
Analysing heuristic subsequences for offline hyper-heuristic learning. 37-38 - Ales Zamuda, José Daniel Hernández Sosa:
Hot off the press in expert systems on underwater robotic missions: success history applied to differential evolution for underwater glider path planning. 39-40
Late-breaking abstract
- Nader Azad, Adel Aazami, Ali Papi, Armin Jabbarzadeh:
A two-phase genetic algorithm for incorporating environmental considerations with production, inventory and routing decisions in supply chain networks. 41-42 - Mayowa Ayodele:
Application of estimation of distribution algorithm for feature selection. 43-44 - Mayowa Ayodele, K. Nadia Papamichail, Geraldine Gallagher, Darren Buckley:
Hybrid estimation of distribution algorithm for solving a resource level allocation problem in a legal business. 45-46 - Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda:
Beyond coreset discovery: evolutionary archetypes. 47-48 - Amit Benbassat:
Genetic algorithms are very good solved sudoku generators. 49-50 - Hwi-Yeon Cho, Yong-Hyuk Kim:
Stabilized training of generative adversarial networks by a genetic algorithm. 51-52 - José Ignacio Hidalgo, Ricardo Fernández, Oscar Garnica, J. Manuel Colmenar, Juan Lanchares, Gaspar González-Doncel:
Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms. 53-54 - Ingmar Kanitscheider, Bowen Baker, Todor M. Markov, Igor Mordatch:
Skill emergence and transfer in multi-agent environments. 55-56 - Ahmed Kheiri, Konstantinos G. Zografos:
Modelling and solving the combined inventory routing problem with risk consideration. 57-58 - Man-Je Kim, Jun Suk Kim, Donghyeon Lee, Sungjin James Kim, Min-Jung Kim, Chang Wook Ahn:
Integrating agent actions with genetic action sequence method. 59-60 - Yong-Hoon Kim, Junghwan Lee, Yong-Hyuk Kim:
Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks. 61-62 - William B. Langdon:
Parallel GPQUICK. 63-64 - Seung-Ju Lee, Hyun-Ji Moon, Da-Jung Kim, Yourim Yoon:
Genetic algorithm-based feature selection for depression scale prediction. 65-66 - Piotr Lipinski, Krzysztof Michalak:
Multidimensional time series feature engineering by hybrid evolutionary approach. 67-68 - Carolina Gil Marcelino, Carlos Eduardo Pedreira, Elizabeth F. Wanner, Leonel M. Carvalho, Vladimiro Miranda, Armando L. da Silva:
CE+EPSO: a merged approach to solve SCOPF problem. 69-70 - Alejandro Marrero, Eduardo Segredo, Coromoto León:
On the automatic planning of healthy and balanced menus. 71-72 - Yukiko Orito, Tomoko Kashima:
EDA with hamming distance for consumption-loan planning in experimental economics. 73-74 - Lia T. Parsenadze, Danilo Vasconcellos Vargas, Toshiyuki Fujita:
Towards solving neural networks with optimization trajectory search. 75-76 - Mariem Sebai, Ezzeddine Fatnassi, Lilia Rejeb:
A honeybee mating optimization algorithm for solving the static bike rebalancing problem. 77-78 - Aviv Segev, Rituparna Datta, Ryan Benton, Dorothy Curtis:
OINNIONN: outward inward neural network and inward outward neural network evolution. 79-80 - Alexander V. Spirov, Ekaterina M. Myasnikova:
Techniques from evolutionary computation to implement as experimental approaches in synthetic biology: tests in silico. 81-82 - Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin:
Selective pressure in constrained differential evolution. 83-84 - Dana Vrajitoru:
Trajectory optimization for car races using genetic algorithms. 85-86 - Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung:
Probabilistic grammar-based deep neuroevolution. 87-88 - Yapei Wu, Xingguang Peng, Demin Xu:
Identifying variable interaction using mutual information of multiple local optima. 89-90 - Dong-Pil Yu, Yong-Hyuk Kim:
Predictability on performance of surrogate-assisted evolutionary algorithm according to problem dimension. 91-92 - Guohai Zhu, Kewei Yang, Qingsong Zhao, Zhiwei Yang:
Bi-objective optimal planning for emergency resource allocation in the maritime oil spill accident response phase under uncertainty. 93-94 - Wiem Zouari, Inès Alaya, Moncef Tagina:
A new hybrid ant colony algorithms for the traveling thief problem. 95-96
Poster: Ant colony optimization and swarm intelligence
- Darren M. Chitty, Elizabeth F. Wanner, Rakhi Parmar, Peter R. Lewis:
Scaling ACO to large-scale vehicle fleet optimisation via partial-ACO. 97-98 - Chao Li, Jun Sun, Vasile Palade, Qidong Chen, Wei Fang:
Collaborative diversity control strategy for random drift particle swarm optimization. 99-100 - Muhammad Usman, AbuBakr Awad, Wei Pang, George M. Coghill:
Inferring structure and parameters of dynamic systems using particle swarm optimization. 101-102
Poster: Complex systems (artificial life/artificial immune systems/generative and developmental systems/evolutionary robotics/evolvable hardware)
- Dylan R. Ashley, Valliappa Chockalingam, Braedy Kuzma, Vadim Bulitko:
Learning to select mates in artificial life. 103-104 - Palina Bartashevich, Sanaz Mostaghim:
Positive impact of isomorphic changes in the environment on collective decision-making. 105-106 - Michal Bidlo:
Evolution of cellular automata development using various representations. 107-108 - Nicolas Bredèche:
HIT-EE: a novel embodied evolutionary algorithm for low cost swarm robotics. 109-110 - James Butterworth, Rahul Savani, Karl Tuyls:
Evolving indoor navigational strategies using gated recurrent units in NEAT. 111-112 - Anton V. Eremeev, Alexander V. Spirov:
Evaluation of runtime bounds for SELEX procedure with high selection pressure. 113-114 - Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Are quality diversity algorithms better at generating stepping stones than objective-based search? 115-116 - Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis:
Blending notions of diversity for MAP-elites. 117-118 - Djordje Grbic, Sebastian Risi:
Towards continual reinforcement learning through evolutionary meta-learning. 119-120 - Niels Justesen, Sebastian Risi, Jean-Baptiste Mouret:
MAP-Elites for noisy domains by adaptive sampling. 121-122 - Gongjin Lan, Jiunhan Chen, A. E. Eiben:
Evolutionary predator-prey robot systems: from simulation to real world. 123-124 - Alexander Furman, Danielle Nagar, Geoff Nitschke:
The cost of morphological complexity. 125-126 - Frank Veenstra, Emma Hart, Edgar Buchanan, Wei Li, Matteo De Carlo, Ágoston E. Eiben:
Comparing encodings for performance and phenotypic exploration in evolving modular robots. 127-128
Poster: Digital entertainment technologies and arts
- Martyn Amos, Matthew Crossley, Huw Lloyd:
Solving nurikabe with ant colony optimization. 129-130 - Alexander E. I. Brownlee, Suk-Jun Kim, Szu-Han Wang, Stella Chan, Jamie A. Lawson:
Crowd-sourcing the sounds of places with a web-based evolutionary algorithm. 131-132 - Laura Calle, Juan Julián Merelo Guervós, Antonio Mora García, Mario García Valdez:
Improved free form evolution for angry birds structures. 133-134 - Paul Cohen, Geoff Nitschke:
Evolving music with emotional feedback. 135-136
Poster: Evolutionary combinatorial optimization and metaheuristics
- Mateusz Slazynski, Salvador Abreu, Grzegorz J. Nalepa:
Towards a formal specification of local search neighborhoods from a constraint satisfaction problem structure. 137-138 - Aishwaryaprajna, Jonathan E. Rowe:
Noisy combinatorial optimisation by evolutionary algorithms. 139-140 - Etor Arza, Josu Ceberio, Aritz Pérez, Ekhine Irurozki:
Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. 141-142 - Abdelhakim Cheriet, Roberto Santana:
Optimizing permutation-based problems with a discrete vine-copula as a model for EDA. 143-144 - Aldy Gunawan, Vincent F. Yu, Audrey Tedja Widjaja, Pieter Vansteenwegen:
Simulated annealing for the single-vehicle cyclic inventory routing problem. 145-146 - Thomas E. Kent, Arthur G. Richards:
Decentralised multi-demic evolutionary approach to the dynamic multi-agent travelling salesman problem. 147-148 - Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín:
Ranking-based discrete optimization algorithm for asymmetric competitive facility location. 149-150 - Luca Manzoni, Luca Mariot, Eva Tuba:
Does constraining the search space of GA always help?: the case of balanced crossover operators. 151-152 - Radomil Matousek, Ladislav Dobrovsky, Jakub Kudela:
The quadratic assignment problem: metaheuristic optimization using HC12 algorithm. 153-154 - Soheila Sadeghiram, Hui Ma, Gang Chen:
A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition. 155-156
Poster: Evolutionary machine learning
- Mohammed Alshahrani, Spyridon Samothrakis, Maria Fasli:
Identifying idealised vectors for emotion detection using CMA-ES. 157-158 - Kumar Ayush, Abhishek Sinha:
Improving classification performance of support vector machines via guided custom kernel search. 159-160 - Qi Chen, Bing Xue, Mengjie Zhang:
Differential evolution for instance based transfer learning in genetic programming for symbolic regression. 161-162 - João Correia, Tiago Martins, Penousal Machado:
Evolutionary data augmentation in deep face detection. 163-164 - Wojciech Dudzik, Michal Kawulok, Jakub Nalepa:
Evolutionarily-tuned support vector machines. 165-166 - Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri:
Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. 167-168 - Aavaas Gajurel, Sushil J. Louis:
Multiobjective multi unit-type neuroevolution for micro in RTS games. 169-170 - Marketa Illetskova, Islam El-Nabarawy, Leonardo Enzo Brito da Silva, Daniel R. Tauritz, Donald C. Wunsch II:
Nested monte carlo search expression discovery for the automated design of fuzzy ART category choice functions. 171-172 - Ethan C. Jackson, Mark Daley:
Novelty search for deep reinforcement learning policy network weights by action sequence edit metric distance. 173-174 - Krzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski:
Multi-GPU approach for big data mining: global induction of decision trees. 175-176 - Douglas Kirkpatrick, Arend Hintze:
Augmenting neuro-evolutionary adaptation with representations does not incur a speed accuracy trade-off. 177-178 - Ricardo Henrique Remes de Lima, Aurora T. R. Pozo:
Evolving convolutional neural networks through grammatical evolution. 179-180 - Marcus Märtens, Dario Izzo:
Neural network architecture search with differentiable cartesian genetic programming for regression. 181-182 - Masaya Nakata, Will Neil Browne:
How XCS can prevent misdistinguishing rule accuracy: a preliminary study. 183-184 - Patryk Orzechowski, Jason H. Moore:
Strategies for improving performance of evolutionary biclustering algorithm EBIC. 185-186 - Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. 187-188 - Joshua Sirota, Vadim Bulitko, Matthew R. G. Brown, Sergio Poo Hernandez:
Evolving recurrent neural networks for emergent communication. 189-190 - Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss:
On the potential of evolution strategies for neural network weight optimization. 191-192
Poster: Evolutionary multiobjective optimization
- Abdulaziz Alashaikh, Eisa Alanazi:
Preference-based multiobjective virtual machine placement: a ceteris paribus approach. 193-194 - AbuBakr Awad, Muhammad Usman, David Lusseau, George M. Coghill, Wei Pang:
A physarum-inspired competition algorithm for solving discrete multi-objective optimization problems. 195-196 - Christina Brester, Ivan Ryzhikov, Eugene Semenkin, Mikko Kolehmainen:
On a restart metaheuristic for real-valued multi-objective evolutionary algorithms. 197-198 - Jessica Finocchiaro, H. David Mathias:
Evolving cooperation for the iterated prisoner's dilemma. 199-200 - Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray:
A component-wise study of K-RVEA: observations and potential future developments. 201-202 - Haithem Hafsi, Hamza Gharsellaoui, Sadok Bouamama:
Towards a novel NSGA-II-based approach for multi-objective scientific workflow scheduling on hybrid clouds. 203-204 - Mardé Helbig, Heiner Zille, Mahrokh Javadi, Sanaz Mostaghim:
Performance of dynamic algorithms on the dynamic distance minimization problem. 205-206 - Carlos Ignacio Hernández Castellanos, Sina Ober-Blöbaum:
A decomposition-based EMOA for set-based robustness. 207-208 - Tatsumasa Ishikawa, Hiroaki Fukumoto, Akira Oyama, Hiroyuki Nishida:
Improved binary additive epsilon indicator for obtaining uniformly distributed solutions in multi-objective optimization. 209-210 - Mahrokh Javadi, Heiner Zille, Sanaz Mostaghim:
Modified crowding distance and mutation for multimodal multi-objective optimization. 211-212 - Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre:
Many-view clustering: an illustration using multiple dissimilarity measures. 213-214 - Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai:
Using diversity as a priority function for resource allocation on MOEA/D. 215-216 - Anna Lavygina, Kristopher Welsh, Alan Crispin:
On fairness as a rostering objective. 217-218 - Juhee Lim, Jongsoo Lee:
Reliability-based MOGA design optimization using probabilistic response surface method and bayesian neural network. 219-220 - Yijun Liu, Xin Li, Qijia Hao:
A new constrained multi-objective optimization problems algorithm based on group-sorting. 221-222 - Oskar Marko, Dejan Pavlovic, Vladimir S. Crnojevic, Kalyanmoy Deb:
Optimisation of crop configuration using NSGA-III with categorical genetic operators. 223-224 - Luis Miguel Antonio, Carlos A. Coello Coello, Silvia B. González-Brambila, Josué Figueroa González, Ma. Guadalupe Castillo Tapia:
Operational decomposition for large scale multi-objective optimization problems. 225-226 - Hugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka:
Studying com partmental models interpolation to estimate MOEAs population size. 227-228 - Alberto Rodríguez Sánchez, Antonin Ponsich, Antonio López Jaimes:
Generation techniques and a novel on-line adaptation strategy for weight vectors within decomposition-based MOEAs. 229-230 - Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced optimization with composite objectives and novelty pulsation. 231-232 - Hemant Kumar Singh, Kalyanmoy Deb:
A parametric investigation of PBI and AASF scalarizations. 233-234 - Classical MOEAs for solving a multi-objective problem of supply chain design and operation. 235-236
- Hongyan Wang, Hua Xu, Yuan Yuan, Xiaomin Sun, Junhui Deng:
Balancing exploration and exploitation in multiobjective batch bayesian optimization. 237-238 - Hongyan Wang, Hua Xu, Yuan Yuan, Junhui Deng, Xiaomin Sun:
Noisy multiobjective black-box optimization using bayesian optimization. 239-240 - Guo Yu, Yaochu Jin, Markus Olhofer:
An a priori knee identification multi-objective evolutionary algorithm based on α-dominance. 241-242
Poster: Evolutionary numerical optimization
- Samineh Bagheri, Wolfgang Konen, Thomas Bäck:
Solving optimization problems with high conditioning by means of online whitening. 243-244 - Paul Beaucaire, Charlotte Beauthier, Caroline Sainvitu:
Exploitation of multiple surrogate models in multi-point infill sampling strategies. 245-246 - Rafal Biedrzycki:
On equivalence of algorithm's implementations: the CMA-ES algorithm and its five implementations. 247-248 - Leo Cazenille:
Comparing reliability of grid-based quality-diversity algorithms using artificial landscapes. 249-250 - Alexander Fabisch:
Empirical evaluation of contextual policy search with a comparison-based surrogate model and active covariance matrix adaptation. 251-252 - Stefano Fioravanzo, Giovanni Iacca:
Evaluating MAP-Elites on constrained optimization problems. 253-254 - Arnauci Flori, Hamouche Oulhadj, Patrick Siarry:
A new neighborhood topology for QUAntum particle swarm optimization (QUAPSO). 255-256 - Robert Simon Fong, Peter Tiño:
Extended stochastic derivative-free optimization on riemannian manifolds. 257-258 - Martin Hyrs, Josef Schwarz:
An analysis of control parameters of copula-based EDA algorithm with model migration. 259-260 - Benjamin Lacroix, John A. W. McCall:
Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. 261-262 - Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama:
On the use of metaheuristics in hyperparameters optimization of gaussian processes. 263-264 - Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Ivan Zelinka:
On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy. 265-266 - Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud:
Openly revisiting derivative-free optimization. 267-268 - Evgenii Sopov, Alexey Vakhnin:
Investigating the effects of population size and the number of subcomponents on the performance of SHADE algorithm with random adaptive grouping for LSGO problems. 269-270 - Mingcheng Zuo, Guangming Dai, Lei Peng, Maocai Wang, Pan Peng, Changchun Chen:
Benchmarking the region learning-based JADE on noiseless functions. 271-272 - Mingcheng Zuo, Guangming Dai, Lei Peng, Maocai Wang, Pan Peng, Changchun Chen:
A new mutation operator with the ability to adjust exploration and exploitation for DE algorithm. 273-274 - Urban Skvorc, Tome Eftimov, Peter Korosec:
GECCO black-box optimization competitions: progress from 2009 to 2018. 275-276
Poster: Genetic algorithms
- Anton O. Bassin, Maxim Buzdalov:
The 1/5-th rule with rollbacks: on self-adjustment of the population size in the (1 + (λ, λ)) GA. 277-278 - David Bernhauer, Tomás Skopal:
Approximate search in dissimilarity spaces using GA. 279-280 - Haroldo de Faria Jr., Willian Tessaro Lunardi, Holger Voos:
A parallel multi-population biased random-key genetic algorithm for electric distribution network reconfiguration. 281-282 - Carlos M. Fernandes, Agostinho C. Rosa, Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós:
Genealogical patterns in evolutionary algorithms. 283-284 - Ryan Gabrys, Luis Martinez:
A change would do you good: GA-Based approach for hiding data in program executables. 285-286 - Seyed Mahdi Homayouni, Dalila B. M. M. Fontes, Fernando A. C. C. Fontes:
A BRKGA for the integrated scheduling problem in FMSs. 287-288 - Marcin M. Komarnicki, Michal Witold Przewozniczek:
Parameter-less, population-sizing DSMGA-II. 289-290 - Fang-Yi Lo, Chao-Hong Chen, Ying-Ping Chen:
Genetic algorithms as shrinkers in property-based testing. 291-292 - Tina Malalanirainy, Alberto Moraglio:
Runtime analysis of abstract evolutionary search with standard crossover. 293-294 - Heitor R. Medeiros, Diogo M. F. Izidio, Antonyus P. do A. Ferreira, Edna Natividade da Silva Barros:
Latin hypercube initialization strategy for design space exploration of deep neural network architectures. 295-296 - Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara:
Multiple world genetic algorithm to analyze individually advantageous behaviors in complex networks. 297-298 - Mariana Moura, Ricardo M. A. Silva:
A study of the levy distribution in generation of BRKGA random keys applied to global optimization. 299 - Takumi Nakane, Takuya Akashi, Xuequan Lu, Chao Zhang:
A probabilistic bitwise genetic algorithm for B-spline based image deformation estimation. 300-301 - Takatoshi Niwa, Koya Ihara, Shohei Kato:
A group work inspired generation alternation model of real-coded GA. 302-303 - Patryk Orzechowski, Jason H. Moore:
Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data? 304-305 - Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok:
Island model for parallel evolutionary optimization of spiking neuromorphic computing. 306-307 - Kenneth Smith, Cezary Z. Janikow, Sharlee Climer:
Evolving to recognize high-dimensional relationships in data: GA operators and representation designed expressly for community detection. 308-309 - Cheng-Hao Yang, Hou-Teng Cheong, Tian-Li Yu:
Comparison of GAs in black-box scenarios. 310-311 - Adam M. Zielinski, Marcin M. Komarnicki, Michal Witold Przewozniczek:
Parameter-less population pyramid with automatic feedback. 312-313
Poster: General evolutionary computation and hybrids
- Kai Arulkumaran, Antoine Cully, Julian Togelius:
AlphaStar: an evolutionary computation perspective. 314-315 - Alina Enescu, Anca Andreica, Laura Diosan:
Evolved cellular automata for edge detection. 316-317 - Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang:
Can route planning be smarter with transfer optimization? 318-319 - Juan Julián Merelo Guervós, Juan Luis Jiménez Laredo, Pedro A. Castillo, Mario García Valdez, Sergio Rojas Galeano:
Improving the algorithmic efficiency and performance of channel-based evolutionary algorithms. 320-321 - Keiko Ono, Daisuke Tawara, Yoshiko Hanada:
Textonboost based on differential evolution. 322-323 - Rommel G. Regis:
A hybrid between a surrogate-assisted evolutionary algorithm and a trust region method for constrained optimization. 324-325 - Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz:
Comparing terminal sets for evolving CMA-ES mean-update selection. 326-327 - Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
A classification-based selection for evolutionary optimization. 328-329 - Yanyun Zhang, Guangming Dai, Mingcheng Zuo, Lei Peng, Maocai Wang, Zhengquan Liu:
A population entropy based adaptation strategy for differential evolution. 330-331
Poster: Genetic programming
- Harith Al-Sahaf, Ian Welch:
A genetic programming approach to feature selection and construction for ransomware, phishing and spam detection. 332-333 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem. 334-335 - João E. Batista, Nuno M. Rodrigues, Sara Silva:
To adapt or not to adapt, or the beauty of random settings. 336-337 - Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller:
Parsimony measures in multi-objective genetic programming for symbolic regression. 338-339 - Thomas D. Griffiths, Anikó Ekárt:
Increasing genetic programming robustness using simulated dunning-kruger effect. 340-341 - Jakub Husa:
Designing correlation immune boolean functions with minimal hamming weight using various genetic programming methods. 342-343 - Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray:
Investigating the use of linear programming to solve implicit symbolic regression problems. 344-345 - Alexander Lalejini, Charles Ofria:
Tag-accessed memory for genetic programming. 346-347 - Qiang Lu, Shuo Zhou, Fan Tao, Zhiguang Wang:
Space partition based gene expression programming for symbolic regression. 348-349 - Brandon Muller, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression. 350-351 - Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings:
Automated design of random dynamic graph models for enterprise computer network applications. 352-353 - Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung:
Semantic fitness function in genetic programming based on semantics flow analysis. 354-355 - Shubu Yoshida, Tomohiro Harada, Ruck Thawonmas:
Multimodal genetic programming using program similarity measurement and its application to wall-following problem. 356-357
Poster: Real world applications
- Tahani S. Alotaibi, Matthew J. Craven:
Efficient frontiers in portfolio optimisation with minimum proportion constraints. 358-359 - Thomas Bauschert, Varun S. Reddy:
Genetic algorithms for the network slice design problem under uncertainty. 360-361 - Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria:
Phoneme aware speech recognition through evolutionary optimisation. 362-363 - Hamed Bolandi, Wolfgang Banzhaf, Nizar Lajnef, Kaveh Barri, Amir Hossein Alavi:
Bond strength prediction of FRP-bar reinforced concrete: a multi-gene genetic programming approach. 364 - Pierluigi Frisco, Timo Bootsma, Thomas Bäck:
Multi-objective genetic algorithms for reducing mark read-out effort in lithographic tests. 365-366 - Congcong Guo, Chunlu Wang, Xingquan Zuo:
A genetic algorithm based column generation method for multi-depot electric bus vehicle scheduling. 367-368 - Nicholas Harris, Siming Liu, Sushil J. Louis, Jim Hung La:
A genetic algorithm for multi-robot routing in automated bridge inspection. 369-370 - Carl Im, Erik Hemberg:
On the use of context sensitive grammars in grammatical evolution for legal non-compliance detection. 371-372 - Alexander Ivanov, Christian Jacob:
EvoIsland: immersive interactive evolutionary 3D modelling. 373-374 - Hye-Jin Kim, Junghwan Lee, Jong-Hwui Yun, Yong-Hyuk Kim:
Optimal equipment assignment for oil spill response using a genetic algorithm. 375-376 - Jitka Kocnová, Zdenek Vasícek:
Impact of subcircuit selection on the efficiency of CGP-based optimization of gate-level circuits. 377-378 - Walter O. Krawec, Sam A. Markelon:
Discovery of robust protocols for secure quantum cryptography. 379-380 - Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli:
Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. 381-382 - Paul Lapok, Alistair Lawson, Ben Paechter:
Evolving planar mechanisms for the conceptual stage of mechanical design. 383-384 - Duc C. Le, Malcolm I. Heywood, Nur Zincir-Heywood:
Benchmarking genetic programming in dynamic insider threat detection. 385-386 - Sebastian Mai, Heiner Zille, Christoph Steup, Sanaz Mostaghim:
Multi-objective collective search and movement-based metrics in swarm robotics. 387-388 - Krzysztof Michalak:
Evolutionary optimization of epidemic control strategies for livestock disease prevention. 389-390 - Kyo Migishima, Takahiro Fuji, Hernán E. Aguirre, Rodolfo Cruz-Silva, Kiyoshi Tanaka:
Optimization of chemical structures for seawater desalination. 391-392 - Leon Coetzee, Geoff Nitschke:
Evolving optimal sun-shading building façades. 393-394 - Stjepan Picek, Domagoj Jakobovic:
On the design of S-box constructions with genetic programming. 395-396 - Alma As-Aad Rahat, Ralph Ledbetter, Alex Dawn, Robert Byrne, Richard M. Everson:
Solving the first and last mile problem with connected and autonomous vehicles. 397-398 - Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein:
Feature selection for surrogate model-based optimization. 399-400 - Olga Rudenko, Aurélien Thureau, Javier Perez:
Evolutionary refinement of the 3D structure of multi-domain protein complexes from small angle X-ray scattering data. 401-402 - Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Neural network-based multiomics data integration in Alzheimer's disease. 403-404 - Yukito Tsunoda, Takahiro Notsu, Yasufumi Sakai, Naoki Hamada, Toshihiko Mori, Teruo Ishihara, Atsuki Inoue:
Neural-network assistance to calculate precise eigenvalue for fitness evaluation of real product design. 405-406 - Jens Weise, Steven Benkhardt, Sanaz Mostaghim:
Graph-based multi-objective generation of customised wiring harnesses. 407-408 - Boyuan Xia, Zhiwei Yang, Qingsong Zhao:
Study on multi-objective optimization for the allocation of transit aircraft to gateway considering satellite hall. 409-410
Poster: Search-based software engineering
- Anna Bogdanova, Jair Pereira Junior, Claus Aranha:
Franken-swarm: grammatical evolution for the automatic generation of swarm-like meta-heuristics. 411-412 - William B. Langdon, Justyna Petke:
Genetic improvement of data gives binary logarithm from sqrt. 413-414 - Hyeon-Chang Lee, Yong-Hyuk Kim:
Visualizing swarm behavior with a particle density map. 415-416 - Muyang Liu, Ke Li, Tao Chen:
Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities. 417-418 - Yutaka Nagashima:
Towards evolutionary theorem proving for isabelle/HOL. 419-420 - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition. 421-422
Poster: Theory
- Nina Bulanova, Maxim Buzdalov:
Black-box complexity of the binary value function. 423-424 - Nathan Buskulic, Carola Doerr:
Maximizing drift is not optimal for solving OneMax. 425-426 - Jun He, Thomas Jansen, Christine Zarges:
Unlimited budget analysis. 427-428 - Imanol Unanue, María Merino, José Antonio Lozano:
A mathematical analysis of EDAs with distance-based exponential models. 429-430
Tutorial: Introductory tutorials
- Nicolas Bredèche, Stéphane Doncieux, Jean-Baptiste Mouret:
Evolutionary robotics tutorial. 431-460 - Dimo Brockhoff:
Tutorial on evolutionary multiobjective optimization. 461-484 - Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 485-506 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 507-522 - Benjamin Doerr:
Theory for non-theoreticians: introductory tutorial. 523-549 - David Ha:
Neuroevolution for deep reinforcement learning problems. 550-593 - Nikolaus Hansen:
A practical guide to experimentation (and benchmarking). 594-613 - Hisao Ishibuchi, Hiroyuki Sato:
Evolutionary many-objective optimization. 614-661 - Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of evolutionary algorithms: basic introduction: introductory tutorial at GECCO 2019. 662-693 - Risto Miikkulainen:
Evolution of neural networks. 694-709 - Una-May O'Reilly, Erik Hemberg:
Introduction to genetic programming. 710-725 - Franz Rothlauf:
Representations for evolutionary algorithms. 726-746 - Anthony Stein:
Learning classifier systems: from principles to modern systems. 747-769 - Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. 770-805 - Dirk Thierens, Peter A. N. Bosman:
Model-based evolutionary algorithms. 806-836
Tutorial: Advanced tutorials
- Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. 837-861 - Jürgen Branke:
Simulation optimisation: tutorial. 862-889 - Carola Doerr:
Dynamic parameter choices in evolutionary computation. 890-922 - Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Recent advances in particle swarm optimization analysis and understanding. 923-950 - Bogdan Filipic, Tea Tusar:
Visualization in multiobjective optimization. 951-974 - Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. 975-1001 - Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. 1002-1031 - Alberto Moraglio, Krzysztof Krawiec:
Semantic genetic programming. 1032-1055 - Aneta Neumann, Frank Neumann:
Evolutionary computation for digital art. 1056-1076 - Gabriela Ochoa, Katherine M. Malan:
Recent advances in fitness landscape analysis. 1077-1094 - Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. 1095-1112 - L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós:
Next generation genetic algorithms. 1113-1136
Tutorial: Specialized tutorials
- Pascal Kerschke, Mike Preuss:
Exploratory landscape analysis. 1137-1155 - Antonios Liapis, Georgios N. Yannakakis:
Creative evolutionary computation. 1156-1171 - Juan Julián Merelo Guervós:
Concurrency in evolutionary algorithms. 1172-1174 - Lee Spector, Nicholas Freitag McPhee, David M. Clark, Ian Lindsay, Bradford Barr, Jon Klein:
Push: genetic programming for finite algebras. 1175-1196 - Carsten Witt:
Theory of estimation-of-distribution algorithms. 1197-1225 - Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. 1226-1251
Workshop paper: Workshop evolutionary computation + multiple criteria decision making
- Andrzej Jaszkiewicz:
Minimum spanning tree-based clustering of large pareto archives. 1252-1253 - Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck:
A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem. 1254-1262
Workshop paper: Workshop international workshop on learning classifier systems
- Liang-Yu Chen, Jia-Hua Lee, Ya-Liang Yang, Ming-Tsung Yeh, Tzu-Chien Hsiao:
Predicting the remaining useful life of plasma equipment through XCSR. 1263-1270 - Simon Conrady, Manu Manuel, Arne Kreddig, Walter Stechele:
LCS-based automatic configuration of approximate computing parameters for FPGA system designs. 1271-1279 - Hong-Ming Ji, Liang-Yu Chen, Tzu-Chien Hsiao:
Real-time detection of internet addiction using reinforcement learning system. 1280-1288 - Norbert Kozlowski, Olgierd Unold:
Preliminary tests of a real-valued anticipatory classifier system. 1289-1294 - David Pätzel, Anthony Stein, Jörg Hähner:
A survey of formal theoretical advances regarding XCS. 1295-1302 - Takato Tatsumi, Keiki Takadama:
XCS-CR for handling input, output, and reward noise. 1303-1311
Workshop paper: Workshop evolutionary data mining and optimization over graphs
- Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser:
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. 1312-1320 - Krzysztof Michalak:
Solving the parameterless firefighter problem using multiobjective evolutionary algorithms. 1321-1328 - Eneko Osaba, Javier Del Ser, Ángel Panizo, David Camacho, Akemi Gálvez, Andrés Iglesias:
Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams. 1329-1335
Workshop paper: Workshop industrial applications of metaheuristics
- Pengfei Gao, Xingquan Zuo, Qiang Bian, Xinchao Zhao:
A memetic algorithm to optimize bus timetable with unequal time intervals. 1336-1344 - Neil Urquhart, Michael Guckert, Simon T. Powers:
Increasing trust in meta-heuristics by using MAP-elites. 1345-1348
Workshop paper: Workshop evolutionary computation software systems
- Clifford Bohm, Alexander Lalejini, Jory Schossau, Charles Ofria:
MABE 2.0: an introduction to MABE and a road map for the future of MABE development. 1349-1356 - Maxim Buzdalov:
Generalized incremental orthant search: towards efficient steady-state evolutionary multiobjective algorithms. 1357-1365 - Rodolfo Ayala Lopes, Thiago Macedo Gomes, Alan Robert Resende de Freitas:
A symbolic evolutionary algorithm software platform. 1366-1373 - Antonio J. Nebro, Manuel López-Ibáñez, Cristóbal Barba-González, José García-Nieto:
Automatic configuration of NSGA-II with jMetal and irace. 1374-1381 - Gary Pamparà, Andries P. Engelbrecht:
Evolutionary and swarm-intelligence algorithms through monadic composition. 1382-1390 - Eric O. Scott, Sean Luke:
ECJ at 20: toward a general metaheuristics toolkit. 1391-1398
Workshop paper: Workshop decomposition techniques in evolutionary optimization
- Monalisa Pal, Sanghamitra Bandyopadhyay:
Differential evolution for multi-modal multi-objective problems. 1399-1406
Workshop paper: Workshop landscape-aware heuristic search
- Jason Adair, Gabriela Ochoa, Katherine M. Malan:
Local optima networks for continuous fitness landscapes. 1407-1414 - Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend:
Landscape analysis under measurement error. 1415-1418 - Johann Dréo, Carola Doerr, Yann Semet:
Coupling the design of benchmark with algorithm in landscape-aware solver design. 1419-1420 - Jonathan E. Fieldsend, Khulood AlYahya:
Visualising the landscape of multi-objective problems using local optima networks. 1421-1429 - Gabriela Ochoa, Francisco Chicano:
Local optima network analysis for MAX-SAT. 1430-1437
Workshop paper: Workshop evolutionary algorithms for problems with uncertainty
- Andreas Beham, Sebastian Raggl, Stefan Wagner, Michael Affenzeller:
Uncertainty in real-world steel stacking problems. 1438-1440 - Gary Pamparà, Andries P. Engelbrecht:
A generator for dynamically constrained optimization problems. 1441-1448 - Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu:
Hybrid techniques for detecting changes in less detectable dynamic multiobjective optimization problems. 1449-1456
Workshop paper: Workshop interactive methods
- Kei Ohnishi, Tomohiro Yoshikawa, Tian-Li Yu:
An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations. 1457-1464 - Nicholas D. F. Ross, Matthew Barrie Johns, Edward C. Keedwell, Dragan A. Savic:
Human-evolutionary problem solving through gamification of a bin-packing problem. 1465-1473
Workshop paper: Workshop evolutionary computation for the automated design of algorithms
- Mohamed Amine El Majdouli:
SAPIAS concept: towards an independent self-adaptive per-instance algorithm selection for metaheuristics. 1474-1477 - Adam Harter, Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings:
Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics. 1478-1486 - Michael A. Lones:
Instruction-level design of local optimisers using push GP. 1487-1494 - Erik A. Meulman, Peter A. N. Bosman:
Toward self-learning model-based EAs. 1495-1503 - Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings:
Automated design of random dynamic graph models. 1504-1512 - Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz:
Evolving mean-update selection methods for CMA-ES. 1513-1517
Workshop paper: Workshop evolutionary computation for permutation problems
- Joan Alza, Mark Bartlett, Josu Ceberio, John McCall:
On the definition of dynamic permutation problems under landscape rotation. 1518-1526 - Marco Baioletti, Alfredo Milani, Valentino Santucci, Umberto Bartoccini:
An experimental comparison of algebraic differential evolution using different generating sets. 1527-1534 - Marco Baioletti, Alfredo Milani, Valentino Santucci, Marco Tomassini:
Search moves in the local optima networks of permutation spaces: the QAP case. 1535-1542 - Amanda Clare, Jacqueline W. Daykin, Thomas Mills, Christine Zarges:
Evolutionary search techniques for the Lyndon factorization of biosequences. 1543-1550 - Piotr Lipinski, Krzysztof Michalak:
Deriving knowledge from local optima networks for evolutionary optimization in inventory routing problem. 1551-1558
Workshop paper: Workshop surrogate-assisted evolutionary optimisation
- Paul Beaucaire, Charlotte Beauthier, Caroline Sainvitu:
Multi-point infill sampling strategies exploiting multiple surrogate models. 1559-1567 - Thomas Gabor, Philipp Altmann:
Benchmarking surrogate-assisted genetic recommender systems. 1568-1575 - Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier:
Prediction of neural network performance by phenotypic modeling. 1576-1582 - Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk:
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. 1583-1591 - Pramudita Satria Palar, Rhea Patricia Liem, Lavi Rizki Zuhal, Koji Shimoyama:
On the use of surrogate models in engineering design optimization and exploration: the key issues. 1592-1602 - Vanessa Volz, Boris Naujoks:
On benchmarking surrogate-assisted evolutionary algorithms. 1603-1605
Workshop paper: Workshop genetic and evolutionary computation in defense, security, and risk management
- Jean Berger, Moufid Harb, Ibrahim Y. Abualhaol, Alexander Teske, Rami S. Abielmona, Emil M. Petriu:
A mixed framework to support heterogeneous collection asset scheduling. 1606-1614 - Godwin Raju, Pavol Zavarsky, Adetokunbo Makanju, Yasir Malik:
Vulnerability assessment of machine learning based malware classification models. 1615-1618 - Farnoush Manavi, Ali Hamzeh:
A new approach for malware detection based on evolutionary algorithm. 1619-1624 - Stjepan Picek, Karlo Knezevic, Domagoj Jakobovic, Ante Derek:
C3PO: cipher construction with cartesian genetic programming. 1625-1633 - Aaron Scott Pope, Daniel R. Tauritz, Melissa J. Turcotte:
Automated design of tailored link prediction heuristics for applications in enterprise network security. 1634-1642 - Igor Saenko, Igor V. Kotenko:
A role-base approach and a genetic algorithm for VLAN design in large critical infrastructures. 1643-1650 - Zachary Wilkins, Nur Zincir-Heywood:
Darwinian malware detectors: a comparison of evolutionary solutions to android malware. 1651-1658 - Linda Zhang, Erik Hemberg:
Investigating algorithms for finding nash equilibria in cyber security problems. 1659-1667
Workshop paper: Workshop evolutionary computation in health care and nursing system
- Iztok Fister Jr., Akemi Gálvez, Eneko Osaba, Javier Del Ser, Andrés Iglesias, Iztok Fister:
Discovering dependencies among mined association rules with population-based metaheuristics. 1668-1674 - Akemi Gálvez, Iztok Fister Jr., Eneko Osaba, Iztok Fister, Javier Del Ser, Andrés Iglesias:
Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm. 1675-1682 - Ryodai Hamasaki, Koichi Nakayama:
A deep learning system that learns a discriminative model autonomously using difference images. 1683-1685 - Patrick Hock, Koki Wakiyama, Chika Oshima, Koichi Nakayama:
Drone monitoring system for disaster areas. 1686-1690 - Koichi Nakayama, Kanta Nanri, Yutaka Moriyama, Chika Oshima:
An entirely self-administrated genetic algorithm implemented using block chain technology. 1691-1696 - Ryuji Tanaka, Chika Oshima, Koichi Nakayama:
Intention inference from 2D poses of preliminary action using OpenPose. 1697-1700
Workshop paper: Workshop genetic improvement
- Mahfouth Alghamdi, Christoph Treude, Markus Wagner:
Toward human-like summaries generated from heterogeneous software artefacts. 1701-1702 - Aymeric Blot, Justyna Petke:
On adaptive specialisation in genetic improvement. 1703-1704 - Mahmoud A. Bokhari, Markus Wagner, Brad Alexander:
The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach. 1705-1706 - Ryan E. Dougherty, Erin Lanus, Charles J. Colbourn, Stephanie Forrest:
Genetic algorithms for affine transformations to existential t-restrictions. 1707-1708 - William B. Langdon:
Genetic improvement of data gives double precision invsqrt. 1709-1714 - Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White:
A survey of genetic improvement search spaces. 1715-1721
Workshop paper: Workshop real-world applications of continuous and mixed-integer optimization
- Steffen Finck:
Worst case search over a set of forecasting scenarios applied to financial stress-testing. 1722-1730 - Kaitlin Maile, Manish Saggar, Risto Miikkulainen:
Implementing evolutionary optimization to model neural functional connectivity. 1731-1733 - Hemant Kumar Singh, Tapabrata Ray, Tobias Rodemann, Markus Olhofer:
Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility. 1734-1741
Workshop paper: Workshop game-benchmark for evolutionary algorithms
- Ivan Bravi, Vanessa Volz, Simon M. Lucas:
Game AI hyperparameter tuning in rinascimento. 1742-1746
Workshop paper: Workshop understanding machine learning optimization problems
- Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda:
Evolutionary discovery of coresets for classification. 1747-1754 - Carola Doerr, Johann Dréo, Pascal Kerschke:
Making a case for (Hyper-)parameter tuning as benchmark problems. 1755-1764 - Bhupinder Singh Saini, Manuel López-Ibáñez, Kaisa Miettinen:
Automatic surrogate modelling technique selection based on features of optimization problems. 1765-1772 - Belinda Stapelberg, Katherine M. Malan:
Global structure of policy search spaces for reinforcement learning. 1773-1781
Workshop paper: Workshop black box discrete optimization benchmarking
- Maxim Buzdalov:
Towards better estimation of statistical significance when comparing evolutionary algorithms. 1782-1788 - Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano:
Bayesian performance analysis for black-box optimization benchmarking. 1789-1797 - Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking discrete optimization heuristics with IOHprofiler. 1798-1806 - Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, Carola Doerr:
Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper. 1807-1812 - Markus Wagner:
Kinder surprise's debut in discrete optimisation: a real-world toy problem that can be subadditive. 1813-1820 - Ales Zamuda:
Binary 100-digit challenge using IEEE-754 coded numerical optimization scenarios (100b-digit) and V-shape binary distance-based success history differential evolution (DISHv). 1821-1828
Workshop paper: Workshop medical applications of genetic and evolutionary computation
- Sergio Contador, José Ignacio Hidalgo, Oscar Garnica, J. Manuel Velasco, Juan Lanchares:
Can clustering improve glucose forecasting with genetic programming models? 1829-1836 - Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli:
Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. 1837-1845 - Jnanendra Prasad Sarkar, Indrajit Saha, Somnath Rakshit, Monalisa Pal, Michal Wlasnowolski, Anasua Sarkar, Ujjwal Maulik, Dariusz Plewczynski:
A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. 1846-1854 - Tian Xia, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith:
Application of classification for figure copying test in Parkinson's disease diagnosis by using cartesian genetic programming. 1855-1863
Workshop paper: Workshop visualisation methods in genetic and evolutionary computation
- Andrea De Lorenzo, Eric Medvet, Tea Tusar, Alberto Bartoli:
An analysis of dimensionality reduction techniques for visualizing evolution. 1864-1872
Workshop paper: Workshop on evolutionary algorithms for smart grids
- Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale, Leonardo H. Macedo, Rubén Romero:
Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation. 1873-1878
Workshop paper: Workshop new standards for benchmarking in evolutionary computation research
- Michael Hellwig, Patrick Spettel, Hans-Georg Beyer:
Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem. 1879-1887 - Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud:
Exploring the MLDA benchmark on the nevergrad platform. 1888-1896
Workshop paper: Workshop black-box-optimization benchmarking
- Benjamin Bodner:
Benchmarking the ATM algorithm on the BBOB 2009 noiseless function testbed. 1897-1904 - Dimo Brockhoff, Tea Tusar:
Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. 1905-1911 - Dimo Brockhoff, Nikolaus Hansen:
The impact of sample volume in random search on the bbob test suite. 1912-1919 - Paul Dufossé, Cheikh Touré:
Benchmarking MO-CMA-ES and COMO-CMA-ES on the bi-objective bbob-biobj testbed. 1920-1927 - Louis Faury, Clément Calauzènes, Olivier Fercoq:
Benchmarking GNN-CMA-ES on the BBOB noiseless testbed. 1928-1936 - Konstantinos Varelas:
Benchmarking large scale variants of CMA-ES and L-BFGS-B on the bbob-largescale testbed. 1937-1945 - Konstantinos Varelas, Marie-Ange Dahito:
Benchmarking multivariate solvers of SciPy on the noiseless testbed. 1946-1954
Workshop paper: Workshop computational intelligence in aerospace science and engineering
- Lorenzo Gentile, Cristian Greco, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile:
Structured-chromosome GA optimisation for satellite tracking. 1955-1963 - José Ignacio Hidalgo, Ricardo Fernández, J. Manuel Colmenar, Oscar Garnica, Juan Lanchares, Gaspar González-Doncel:
Determination of microscopic residual stresses using evolutionary algorithms. 1964-1970 - Dario Izzo, Ekin Öztürk, Marcus Märtens:
Interplanetary transfers via deep representations of the optimal policy and/or of the value function. 1971-1979 - Aritz D. Martinez, Eneko Osaba, Izaskun Oregi, Iztok Fister Jr., Iztok Fister, Javier Del Ser:
Hybridizing differential evolution and novelty search for multimodal optimization problems. 1980-1989 - Pramudita Satria Palar, Yohanes Bimo Dwianto, Rommel G. Regis, Akira Oyama, Lavi Rizki Zuhal:
Benchmarking constrained surrogate-based optimization on low speed airfoil design problems. 1990-1998 - Lorenzo A. Ricciardi, Massimiliano Vasile:
Solving multi-objective dynamic travelling salesman problems by relaxation. 1999-2007 - Weihu Zhao, Guijin Xia, Cheng Dong, Wei Li, Shuai Ren, Yinghui Xue, Shuwen Chen, Xiya Chen:
Immune and genetic hybrid optimization algorithm for data relay satellite with microwave and laser links. 2008-2015
Student workshop paper: Student workshop
- Kenton M. Barnes, Michael B. Gale:
Meta-genetic programming for static quantum circuits. 2016-2019 - Nina Bulanova, Maxim Buzdalov:
Limited memory, limited arity unbiased black-box complexity: first insights. 2020-2023 - Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello:
On the construction of pareto-compliant quality indicators. 2024-2027 - Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson, Charles Ofria:
Random subsampling improves performance in lexicase selection. 2028-2031 - Anja Jankovic, Carola Doerr:
Adaptive landscape analysis. 2032-2035 - Vitalii Karavaev, Denis Antipov, Benjamin Doerr:
Theoretical and empirical study of the (1 + (λ, λ)) EA on the leadingones problem. 2036-2039 - Nam Le:
Evolution and self-teaching in neural networks: another comparison when the agent is more primitively conscious. 2040-2043 - Hugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka:
Dynamic compartmental models for algorithm analysis and population size estimation. 2044-2047 - Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Expressiveness and robustness of landscape features. 2048-2051 - Guillem Rodríguez Corominas, Christian Blum, Maria J. Blesa:
A biased random key genetic algorithm for the weighted independent domination problem. 2052-2055 - Anil Kumar Saini, Lee Spector:
Modularity metrics for genetic programming. 2056-2059 - Henrik Smedberg:
Knowledge-driven reference-point based multi-objective optimization: first results. 2060-2063 - Renan Jose dos Santos Viana, André Gustavo dos Santos, Flávio V. C. Martins, Elizabeth F. Wanner:
Optimization of a demand responsive transport service using multi-objective evolutionary algorithms. 2064-2067 - Dmitry Vinokurov, Maxim Buzdalov, Arina Buzdalova, Benjamin Doerr, Carola Doerr:
Fixed-target runtime analysis of the (1 + 1) EA with resampling. 2068-2071 - Aljosa Vodopija, Akira Oyama, Bogdan Filipic:
Ensemble-based constraint handling in multiobjective optimization. 2072-2075
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