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ORCIDGECCO 2014: Vancouver, BC, Canada
- Dirk V. Arnold:
Genetic and Evolutionary Computation Conference, GECCO '14, Vancouver, BC, Canada, July 12-16, 2014. ACM 2014, ISBN 978-1-4503-2662-9
Track: ant colony optimization and swarm intelligence
- Hazem Radwan Ahmed, Janice I. Glasgow:
An improved multi-start particle swarm-based algorithm for protein structure comparison. 1-8 - Mohammad Reza Bonyadi, Zbigniew Michalewicz
:
SPSO 2011: analysis of stability; local convergence; and rotation sensitivity. 9-16 - Yasser González-Fernández, Stephen Chen:
Identifying and exploiting the scale of a search space in particle swarm optimization. 17-24 - Betania Hernández-Ocaña, Maria del Pilar Pozos Parra, Efrén Mezura-Montes:
Stepsize control on the modified bacterial foraging algorithm for constrained numerical optimization. 25-32 - Ying Lin, Jingjing Li, Jun Zhang, Meng Wan:
A tribal ecosystem inspired algorithm (TEA) for global optimization. 33-40 - Xiao Fang Liu, Zhi-Hui Zhan, Ke-Jing Du, Wei-Neng Chen:
Energy aware virtual machine placement scheduling in cloud computing based on ant colony optimization approach. 41-48 - Timothy Solum, Brent E. Eskridge, Ingo Schlupp:
Consensus costs and conflict in a collective movement. 49-56 - Gunnar Völkel, Markus Maucher, Uwe Schöning, Hans A. Kestler:
Ant colony optimization with group learning. 57-64 - Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller:
Anticipatory stigmergic collision avoidance under noise. 65-72 - Wei-jie Yu, Jing-Jing Li, Jun Zhang, Meng Wan:
Differential evolution using mutation strategy with adaptive greediness degree control. 73-80 - Saúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello:
Constrained multi-objective aerodynamic shape optimization via swarm intelligence. 81-88 - Chuan-Bin Zhang, Yue-Jiao Gong, Jing-Jing Li, Ying Lin:
Automatic path planning for autonomous underwater vehicles based on an adaptive differential evolution. 89-96
Track: artificial immune systems
- Zeineb Chelly, Zied Elouedi:
A two-leveled hybrid dendritic cell algorithm under imprecise reasoning. 97-104 - Simone A. Ludwig:
Clonal selection based fuzzy C-means algorithm for clustering. 105-112 - Pietro S. Oliveto, Dirk Sudholt:
On the runtime analysis of stochastic ageing mechanisms. 113-120 - Kevin Sim, Emma Hart:
An improved immune inspired hyper-heuristic for combinatorial optimisation problems. 121-128 - Johannes Textor, Katharina Dannenberg, Maciej Liskiewicz:
A generic finite automata based approach to implementing lymphocyte repertoire models. 129-136
Track: artificial life, robotics, and evolvable hardware
- Jeremy Acre, Brent E. Eskridge, Nicholas Zoller, Ingo Schlupp:
Adapting to a changing environment using winner and loser effects. 137-144 - Derrik E. Asher, Jeffrey L. Krichmar, Nicolas Oros:
Evolution of biologically plausible neural networks performing a visually guided reaching task. 145-152 - David Catteeuw, The Anh Han, Bernard Manderick:
Evolution of honest signaling by social punishment. 153-160 - Oliver J. Coleman, Alan D. Blair, Jeff Clune:
Automated generation of environments to test the general learning capabilities of AI agents. 161-168 - Jason Fairey, Terence Soule:
Evolution of communication and cooperation. 169-176 - Anya Elaine Johnson, Heather J. Goldsby, Sherri Goings, Charles Ofria:
The evolution of kin inclusivity levels. 177-184 - Joel Lehman, Risto Miikkulainen:
Overcoming deception in evolution of cognitive behaviors. 185-192 - Jingyu Li, Jed Storie, Jeff Clune:
Encouraging creative thinking in robots improves their ability to solve challenging problems. 193-200 - Wei Li, Melvin Gauci, Roderich Gross:
Coevolutionary learning of swarm behaviors without metrics. 201-208 - Jared M. Moore, Philip K. McKinley:
Evolving joint-level control with digital muscles. 209-216 - Justin K. Pugh, Skyler Goodell, Kenneth O. Stanley:
Directional communication in evolved multiagent teams. 217-224 - David Peter Shorten, Geoff S. Nitschke:
Generational neuro-evolution: restart and retry for improvement. 225-232 - Brian G. Woolley, Kenneth O. Stanley:
A novel human-computer collaboration: combining novelty search with interactive evolution. 233-240 - Payam Zahadat, Thomas Schmickl:
Wolfpack-inspired evolutionary algorithm and a reaction-diffusion-based controller are used for pattern formation. 241-248
Track: biological and biomedical applications
- Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue:
Multiple feature construction for effective biomarker identification and classification using genetic programming. 249-256 - Eddy J. Bautista, Ranjan Srivastava:
Enhancing genetic algorithm-based genome-scale metabolic network curation efficiency. 257-264 - Joi Carter, Daniel Beck, Henry Williams, Gerry V. Dozier, James A. Foster:
GA-based selection of vaginal microbiome features associated with bacterial vaginosis. 265-268 - Rotem Golan, Christian Jacob, Savraj Grewal, Jörg Denzinger:
Predicting patterns of gene expression during drosophila embryogenesis. 269-276 - Rashid Ibragimov, Maximilian Malek, Jan Baumbach, Jiong Guo:
Multiple graph edit distance: simultaneous topological alignment of multiple protein-protein interaction networks with an evolutionary algorithm. 277-284
Track: digital entertainment technologies and arts
- William Barry, Brian J. Ross:
Virtual photography using multi-objective particle swarm optimization. 285-292 - Emil Juul Jacobsen, Rasmus Greve, Julian Togelius:
Monte Mario: platforming with MCTS. 293-300 - Penousal Machado, João Correia:
Semantic aware methods for evolutionary art. 301-308 - Matthieu Macret, Philippe Pasquier:
Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programming. 309-316 - Samadhi Nallaperuma, Frank Neumann, Mohammad Reza Bonyadi, Zbigniew Michalewicz:
EVOR: an online evolutionary algorithm for car racing games. 317-324 - Jacob Schrum, Risto Miikkulainen:
Evolving multimodal behavior with modular neural networks in Ms. Pac-Man. 325-332
Track: estimation of distribution algorithms
- Lee A. Christie, John A. W. McCall, David P. Lonie:
Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings. 333-340 - Chris R. Cox, Richard A. Watson:
Solving building block problems using generative grammar. 341-348 - Bentolhoda Helmi, Adel Torkaman Rahmani:
Estimation of distribution algorithm using factor graph and Markov blanket canonical factorization. 349-356 - Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman:
Multi-objective gene-pool optimal mixing evolutionary algorithms. 357-364 - Jean Paulo Martins, Alexandre C. B. Delbem:
Multimodality and the linkage-learning difficulty of additively separable functions. 365-372
Track: evolution strategies and evolutionary programming
- Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Comparison-based natural gradient optimization in high dimension. 373-380 - Chun-Kit Au, Ho-fung Leung:
Halfspace sampling in evolution strategies. 381-388 - Tobias Glasmachers:
Handling sharp ridges with local supremum transformations. 389-396 - Ilya Loshchilov:
A computationally efficient limited memory CMA-ES for large scale optimization. 397-404
Track: evolutionary combinatorial optimization and metaheuristics
- Carlos Eduardo de Andrade, Mauricio G. C. Resende, Howard J. Karloff, Flávio Keidi Miyazawa:
Evolutionary algorithms for overlapping correlation clustering. 405-412 - Matthieu Basseur, Adrien Goëffon:
On the efficiency of worst improvement for climbing NK-landscapes. 413-420 - Mohammad Reza Bonyadi, Zbigniew Michalewicz, Michal Roman Przybylek, Adam Wierzbicki:
Socially inspired algorithms for the travelling thief problem. 421-428 - Saulo Cunha Campos, José Elias Claudio Arroyo:
NSGA-II with iterated greedy for a bi-objective three-stage assembly flowshop scheduling problem. 429-436 - Francisco Chicano, L. Darrell Whitley, Andrew M. Sutton:
Efficient identification of improving moves in a ball for pseudo-boolean problems. 437-444 - HyukGeun Choi, Jinhyun Kim, Byung-Ro Moon:
A hybrid incremental genetic algorithm for subgraph isomorphism problem. 445-452 - David Iclanzan, Fabio Daolio, Marco Tomassini:
Data-driven local optima network characterization of QAPLIB instances. 453-460 - David Meignan:
A heuristic approach to schedule reoptimization in the context of interactive optimization. 461-468 - Cara Monical, Forrest Stonedahl:
Static vs. dynamic populations in genetic algorithms for coloring a dynamic graph. 469-476 - Sergey Polyakovskiy, Mohammad Reza Bonyadi, Markus Wagner, Zbigniew Michalewicz, Frank Neumann:
A comprehensive benchmark set and heuristics for the traveling thief problem. 477-484 - Ajitha Shenoy K. B, Somenath Biswas, Piyush P. Kurur:
Performance of metropolis algorithm for the minimum weight code word problem. 485-492 - Alexandru-Adrian Tantar, Emilia Tantar, Oliver Schütze:
Asymmetric quadratic landscape approximation model. 493-500 - Renato Tinós, L. Darrell Whitley, Gabriela Ochoa:
Generalized asymmetric partition crossover (GAPX) for the asymmetric TSP. 501-508 - Carsten Witt:
Revised analysis of the (1+1) ea for the minimum spanning tree problem. 509-516
Track: evolutionary machine learning
- Mauricio García-Limón, Hugo Jair Escalante, Eduardo F. Morales, Alicia Morales-Reyes:
Simultaneous generation of prototypes and features through genetic programming. 517-524 - Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang:
Salient object detection using learning classifiersystems that compute action mappings. 525-532 - Uday Kamath, Jessica Lin, Kenneth A. De Jong:
SAX-EFG: an evolutionary feature generation framework for time series classification. 533-540 - Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez:
Evolving deep unsupervised convolutional networks for vision-based reinforcement learning. 541-548 - Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang:
Three-cornered coevolution learning classifier systems for classification tasks. 549-556 - Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama:
Complete action map or best action map in accuracy-based reinforcement learning classifier systems. 557-564 - Masaya Nakata, Tim Kovacs, Keiki Takadama:
A modified XCS classifier system for sequence labeling. 565-572 - Jakub Nalepa, Michal Kawulok:
A memetic algorithm to select training data for support vector machines. 573-580
Track: evolutionary multiobjective optimization
- Nessrine Azzouz, Slim Bechikh, Lamjed Ben Said:
Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problems. 581-588 - Karl Bringmann, Tobias Friedrich, Patrick Klitzke:
Two-dimensional subset selection for hypervolume and epsilon-indicator. 589-596 - Martin Dohr, Bernd Eichberger:
Improving many-objective optimization performance by sequencing evolutionary algorithms. 597-604 - Jonathan E. Fieldsend, Richard M. Everson:
Efficiently identifying pareto solutions when objective values change. 605-612 - Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu:
The parameter optimization of kalman filter based on multi-objective memetic algorithm. 613-620 - Raluca Iordache, Serban Iordache, Florica Moldoveanu:
A framework for the study of preference incorporation in multiobjective evolutionary algorithms. 621-628 - Minami Miyakawa, Keiki Takadama, Hiroyuki Sato:
Controlling selection area of useful infeasible solutions and their archive for directed mating in evolutionary constrained multiobjective optimization. 629-636 - Martin Pilát, Roman Neruda:
Hypervolume-based local search in multi-objective evolutionary optimization. 637-644 - Hiroyuki Sato:
Inverted PBI in MOEA/D and its impact on the search performance on multi and many-objective optimization. 645-652 - Jing Xiao, Zhou Wu, Jianchao Tang:
Hybridization of electromagnetism with multi-objective evolutionary algorithms for RCPSP. 653-660 - Yuan Yuan, Hua Xu, Bo Wang:
An improved NSGA-III procedure for evolutionary many-objective optimization. 661-668 - Yuan Yuan, Hua Xu, Bo Wang:
Evolutionary many-objective optimization using ensemble fitness ranking. 669-676
Track: generative and developmental systems
- David M. Bryson, Aaron P. Wagner, Charles Ofria:
There and back again: gene-processing hardware for the evolution and robotic deployment of robust navigation strategies. 689-696 - Joost Huizinga, Jeff Clune, Jean-Baptiste Mouret:
Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique. 697-704 - Dan Lessin, Don Fussell, Risto Miikkulainen:
Trading control intelligence for physical intelligence: muscle drives in evolved virtual creatures. 705-712 - Sebastian Risi, Kenneth O. Stanley:
Guided self-organization in indirectly encoded and evolving topographic maps. 713-720 - Eivind Samuelsen, Kyrre Glette:
Some distance measures for morphological diversification in generative evolutionary robotics. 721-728 - Olga Smalikho, Markus Olhofer:
Growth in co-evolution of sensory system and signal processing for optimal wing control. 729-736 - Roby Velez, Jeff Clune:
Novelty search creates robots with general skills for exploration. 737-744 - Dennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Hervé Luga:
A continuous developmental model for wind farm layout optimization. 745-752
Track: genetic algorithms
- Sylvain Colin, Benjamin Doerr, Gaspard Férey:
Monotonic functions in EC: anything but monotone! 753-760 - Israel Cruz-Vega, Mauricio García-Limón, Hugo Jair Escalante:
Adaptive-surrogate based on a neuro-fuzzy network and granular computing. 761-768 - Benjamin Doerr, Carola Doerr, Timo Kötzing:
Unbiased black-box complexities of jump functions: how to cross large plateaus. 769-776 - Wanru Gao, Frank Neumann:
Runtime analysis for maximizing population diversity in single-objective optimization. 777-784 - Brian W. Goldman, William F. Punch:
Parameter-less population pyramid. 785-792 - Pavel Krömer, Jan Platos:
Genetic algorithm for sampling from scale-free data and networks. 793-800 - Benjamin E. Mayer, Kay Hamacher:
Stochastic tunneling transformation during selection in genetic algorithm. 801-806 - Samadhi Nallaperuma, Frank Neumann, Dirk Sudholt:
A fixed budget analysis of randomized search heuristics for the traveling salesperson problem. 807-814 - Stjepan Picek, Domagoj Jakobovic:
From fitness landscape to crossover operator choice. 815-822 - Steven Ray, Vahl Scott Gordon, Laurent Vaucher:
Evolving QWOP gaits. 823-830 - Kim-Hang Ruiz:
Search for maximal snake-in-the-box using new genetic algorithm. 831-838 - Jun Shi, Ole J. Mengshoel, Dipan K. Pal:
Feedback control for multi-modal optimization using genetic algorithms. 839-846 - Ankur Sinha, Pekka Malo, Peng Xu, Kalyanmoy Deb:
A bilevel optimization approach to automated parameter tuning. 847-854 - Fatemeh Vafaee:
Learning the structure of large-scale bayesian networks using genetic algorithm. 855-862 - Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf:
Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site. 863-870 - Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein:
Efficient global optimization for combinatorial problems. 871-878
Track: genetic programming
- Ignacio Arnaldo, Krzysztof Krawiec, Una-May O'Reilly:
Multiple regression genetic programming. 879-886 - Alberto Cano, Sebastián Ventura:
GPU-parallel subtree interpreter for genetic programming. 887-894 - Vinícius Veloso de Melo:
Kaizen programming. 895-902 - Jeannie Fitzgerald, Conor Ryan:
On size, complexity and generalisation error in GP. 903-910 - Tomohiro Harada, Keiki Takadama:
Asynchronously evolving solutions with excessively different evaluation time by reference-based evaluation. 911-918 - Thomas Helmuth, Lee Spector:
Word count as a traditional programming benchmark problem for genetic programming. 919-926 - Rachel Hunt, Mark Johnston, Mengjie Zhang:
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. 927-934 - Krzysztof Krawiec, Una-May O'Reilly:
Behavioral programming: a broader and more detailed take on semantic GP. 935-942 - Tomás Kren, Roman Neruda:
Utilization of reductions and abstraction elimination in typed genetic programming. 943-950 - William B. Langdon, Marc Modat, Justyna Petke, Mark Harman:
Improving 3D medical image registration CUDA software with genetic programming. 951-958 - Pak-Kan Wong, Leung-Yau Lo, Man-Leung Wong, Kwong-Sak Leung:
Grammar-based genetic programming with dependence learning and bayesian network classifier. 959-966
Track: integrative genetic and evolutionary computation
- Nikola Aulig, Markus Olhofer:
Neuro-evolutionary topology optimization of structures by utilizing local state features. 967-974