GECCO 2011:
Dublin,
Ireland - Companion Material
Natalio Krasnogor, Pier Luca Lanzi (Eds.):
13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Companion Material Proceedings, Dublin, Ireland, July 12-16, 2011.
ACM 2011, ISBN 978-1-4503-0690-4 
Ant colony optimization and swarm intelligence track posters
- Richard D. Coates, Simon J. Hickinbotham:
Estimating swarm parameters by evolutionary learning.
1-2
- Arles Ernesto Rodriguez Portela, Jonatan Gómez Perdomo:
Mechanism of failure diagnosis based on language games and q-learning over a termites simulator.
3-4
- Tomasz M. Gwizdalla:
Different versions of particle swarm optimization for magnetic problems.
5-6
- Yijun Chen, Man Leung Wong:
Optimizing stacking ensemble by an ant colony optimization approach.
7-8
- Victor Ciesielski, Perry Barile:
Animations rendered by braitenberg vehicles.
9-10
- Samreen Umer, Adnan Ahmed Khan:
Optimal relay station placement in cooperative networks using particle swarm.
11-12
- Sabrina M. Oliveira, Mohamed Saifullah Hussin, Thomas Stützle, Andrea Roli, Marco Dorigo:
A detailed analysis of the population-based ant colony optimization algorithm for the TSP and the QAP.
13-14
- Ying Lin, Jun Zhang:
An ant colony optimization approach for efficient admission scheduling of elective inpatients.
15-16
- Tiago Amador Coelho, Ahmed Ali Abdalla Esmin, Wagner Meira Jr.:
Particle swarm optimization for multi-label classification.
17-18
Artificial life/robotics/evolvable hardware track posters
- Ivan Tanev, Tüze Kuyucu, Katsunori Shimohara:
Incremental genetic programming via genetic transposition.
19-20
- Kohei Nakajima, Tao Li, Naveen Kuppuswamy, Rolf Pfeifer:
Biologically inspired control of a simulated octopus ARM via recurrent neural networks.
21-22
- Daniel J. Couvertier, Philip K. McKinley:
Effects of biased group selection on cooperative predation in digital organisms.
23-24
- Jean-Marc Montanier, Nicolas Bredeche:
Emergence of altruism in open-ended evolution in a population of autonomous agents.
25-26
- A. E. Eiben, N. Ferreira, Martijn C. Schut, S. Kernbach:
Embodied artificial evolution: the future of artificial evolutionary systems.
27-28
- Jaimie Murdock, Larry S. Yaeger:
Genetic clustering for the identification of species.
29-30
- Jason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristóbal Zagal, Hod Lipson:
Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized search.
31-32
Bioinformatics,
computational,
systems,
and synthetic biology track posters
Digital entertainment technologies and arts track posters
Evolutionary combinatorial optimization and metaheuristics track posters
- Chan Hou Che, Zizhen Zhang, Andrew Lim:
A memetic algorithm for solving multiperiod vehicle routing problem with profit.
45-46
- Christian Grimme, Markus Kemmerling, Joachim Lepping:
An expertise-guided multi-criteria approach to scheduling problems.
47-48
- Santiago Enrique Conant-Pablos, Halley Jarumy Ferrer-Soriano, Hugo Terashima-Marín:
Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics.
49-50
- Wolfgang Steitz, Franz Rothlauf:
Guided local search for the optimal communication spanning tree problem.
51-52
- A. K. Qin, Florence Forbes:
Dynamic regional harmony search with opposition and local learning.
53-54
- Yao-Hsin Chou, Chia-Hui Chiu, Yi-Jyuan Yang:
Quantum-inspired tabu search algorithm for solving 0/1 knapsack problems.
55-56
- Luis de Marcos, Antonio García-Cabot, Eva García, José-Amelio Medina, Salvador Otón:
Comparing the performance of evolutionary algorithms for permutation constraint satisfaction.
57-58
- Saúl Domínguez-Isidro, Efrén Mezura-Montes, Luis Guillermo Osorio-Hernández:
Addition chain length minimization with evolutionary programming.
59-60
Estimation of distribution algorithms track posters
- Jen-Hao Chang, Chung-Hsiang Hsueh, Hsuan Lee, Tian-Li Yu, Tsung-Yu Ho:
A test function with full controllability over overlapping: estimation of distribution algorithms.
61-62
- Takayuki Higo:
Importance sampling regularization for estimation of distribution algorithms.
63-64
- David Wallin, Conor Ryan, R. Muhammad Atif Azad:
Candidate oversampling prefers two to tango: estimation of distribution algorithms.
65-66
- Warin Wattanapornprom, Prabhas Chongstitvatana:
Solving multimodal combinatorial puzzles with edge-based estimation of distribution algorithm.
67-68
- Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
The gaussian polytree EDA for global optimization.
69-70
- Kai-Chun Fan, Tian-Li Yu, Jui-Ting Lee:
Interaction detection by NFE estimation: a practical view of building blocks.
71-72
- Elham Salehi, Robin Gras:
Efficient EDA for large opimization problems via constraining the search space of models.
73-74
Evolutionary multiobjective optimization track posters
- Wali Khan Mashwani:
Integration of NSGA-II and MOEA/D in multimethod search approach: algorithms.
75-76
- Jingxuan Wei, Mengjie Zhang:
Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems.
77-78
- Martin Pilát, Roman Neruda:
LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model.
79-80
- Bing Wu, Weihua Sun, Yoshihiro Murata, Keiichi Yasumoto, Minoru Ito:
A stamina-aware sightseeing tour scheduling method.
81-82
- Javier H. López, Laura Lanzarini, Armando De Giusti:
Evolutionary multiobjective optimization for emergency medical services.
83-84
- Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang:
Spatio-temporal data evolutionary clustering based on MOEA/D.
85-86
- Stefano Suardi, Rajkumar Roy, Jörn Mehnen, Yoseph Tafesse Azene:
Uncertainty based evolutionary optimisation.
87-88
- Alexander E. I. Brownlee, Jonathan A. Wright, Monjur M. Mourshed:
A multi-objective window optimisation problem.
89-90
- Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods.
91-92
- Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru:
KKT proximity measure for testing convergence in smooth multi-objective optimization.
93-94
- Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Clustering based leaders' selection in multi-objective evolutionary algorithms.
95-96
- Adam Mostafa Ghandar, Zbigniew Michalewicz:
Considerations of the nature of the relationship between generalization and interpretability in evolutionary fuzzy systems.
97-98
- Ke Li, Sam Kwong, Kim-Fung Man:
JGBL paradigm: a novel strategy to enhance the exploration ability of nsga-ii.
99-100
- Marcos Luiz de Paula Bueno, Gina Maira Barbosa de Oliveira:
Adaptive shifting of auxiliary strategies over three formulations of multicast routing problem.
101-102
- Wenping Zou, Yunlong Zhu, Hanning Chen, Hai Shen:
A novel multi-objective optimization algorithm based on artificial bee colony.
103-104
- Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry:
A classification of dynamic multi-objective optimization problems.
105-106
- David J. Walker, Richard M. Everson, Jonathan E. Fieldsend:
Rank-based dimension reduction for many-criteria populations.
107-108
- Christian Grimme, Joachim Lepping:
Integrating niching into the predator-prey model using epsilon-constraints.
109-110
Evolution strategies and evolutionary programming track posters
- Wenyin Gong, Zhihua Cai:
Adaptive parameter selection for strategy adaptation in differential evolution.
111-112
- José Luis Guerrero, Antonio Berlanga, José Manuel Molina:
A robust memetic algorithm with self-stopping capabilities.
113-114
- Alfredo Cuesta-Infante, José Ignacio Hidalgo, María Victoria Rivas:
(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset.
115-116
- Amine M. Boumaza:
Designing artificial tetris players with evolution strategies and racing.
117-118
- Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch:
Noisy optimization with sequential parameter optimization and optimal computational budget allocation.
119-120
Genetic algorithms track posters
- Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz:
Comparison of cooperative, multiobjective cooperative and classical evolutionary algorithms for global supply chain optimisation.
121-122
- Josh L. Wilkerson, Daniel R. Tauritz:
A guide for fitness function design.
123-124
- Mitsukuni Matayoshi:
A new packing method for two dimensional rectilinear polygons using genetic algorithm.
125-126
- Crown Guan Wang, Degang Wu, Wenjin Chen, Kwok Yip Szeto:
Importance of information exchange in quasi-parallel genetic algorithms.
127-128
- Lee Spector, Thomas Helmuth, Kyle Harrington:
Fecundity and selectivity in evolutionary computation.
129-130
- Marcelo Beckmann, Beatriz S. L. P. de Lima, Nelson F. F. Ebecken:
Genetic algorithms as a pre processing strategy for imbalanced datasets.
131-132
- Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon:
Geometric surrogate-based optimisation for permutation-based problems.
133-134
- Eddy Parkinson, Adam Ghandar, Zbigniew Michalewicz, Andrew Tuson:
Controlling the tradeoff between time and quality by considering the reproductive potential of offspring.
135-136
- Telma Woerle de Lima, Alexandre Cláudio Botazzo Delbem, Franz Rothlauf:
Analysis of properties of recombination operators proposed for the node-depth encoding.
137-138
- Badarch Tserenchimed, Shu Liu, Hitoshi Iba:
A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing.
139-140
- Min Shi:
Empirical analysis of cooperative coevolution using blind decomposition.
141-142
- Ming Yang, Zhihua Cai, Jing Guan, Wenyin Gong:
Differential evolution with improved population reduction.
143-144
- Evelyne Lutton, Jean-Daniel Fekete:
Visual analytics of EA data.
145-146
- Timothy Meekhof, Terence Soule:
Noise, fitness distribution, and selection intensity in genetic algorithms.
147-148
- Gene I. Sher:
DXNN: evolving complex organisms in complex environments using a novel tweann system.
149-150
- Sean Luke, Keith Sullivan, Faisal Abidi:
Large scale empirical analysis of cooperative coevolution.
151-152
- António Manuel Rodrigues Manso, Luís Miguel Parreira Correia:
A multiset genetic algorithm for real coded problems.
153-154
- Brian W. Goldman, Daniel R. Tauritz:
Meta-evolved empirical evidence of the effectiveness of dynamic parameters.
155-156
- Yu-Min Son, Byung Ro Moon:
Raising mutation rate in the context of hybrid genetic algorithms.
157-158
- Jing-Hui Zhong, Jun Zhang:
A multi-objective memetic algorithm for relay node placement in wireless sensor network.
159-160
- Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
The effect of selection from old populations in genetic algorithms.
161-162
Genetics based machine learning track posters
- Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez:
Evolving time-lagged feedforward neural networks for time series forecasting.
163-164
- Kaoru Shimada, Kotaro Hirasawa:
Evolving associative classifier for incomplete database using genetic network programming.
165-166
- Richard Preen, Larry Bull:
Fuzzy dynamical genetic programming in XCSF.
167-168
- Daniele Loiacono:
Fast prediction computation in learning classifier systems using CUDA.
169-170
- Rita Castillo-Ortega, Nicolás Marín, Daniel Sánchez, Andrea Tettamanzi:
A multi-objective memetic algorithm for the linguistic summarization of time series.
171-172
- Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
Using bayesian networks for selecting classifiers in GP ensembles.
173-174
- Leonardo Trujillo, Yuliana Martínez, Patricia Melin:
How many neurons?: a genetic programming answer.
175-176
- Scott Niekum, Lee Spector, Andrew G. Barto:
Evolution of reward functions for reinforcement learning.
177-178
- Fengming Ye, Shingo Mabu, Kotaro Hirasawa:
A memory scheme for genetic network programming with adaptive mutation.
179-180
- Ignas Kukenys, Will N. Browne, Mengjie Zhang:
Confusion matrices for improving performance of feature pattern classifier systems.
181-182
Genetic programming track posters
- David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Dynamic ant: introducing a new benchmark for genetic programming in dynamic environments.
183-184
- Glen D. Rodriguez Rafael, Carlos Javier Solano Salinas:
Empirical study of surrogate models for black box optimizations obtained using symbolic regression via genetic programming.
185-186
- Marc-André Gardner, Christian Gagné, Marc Parizeau:
Bloat control in genetic programming with a histogram-based accept-reject method.
187-188
- Carlos Iván Camargo Bareño, Cesar Augusto Pedraza Bonilla, Luis Fernado Niño, José Ignacio Martinez Torre:
Intrinsic evolvable hardware for combinatorial synthesis based on SoC+FPGA and GPU platforms.
189-190
- Michael O'Neill, Miguel Nicolau, Anthony Brabazon:
Dynamic environments can speed up evolution with genetic programming.
191-192
- Douglas Adriano Augusto, Helio J. C. Barbosa, André da Motta Salles Barreto, Heder S. Bernardino:
A new approach for generating numerical constants in grammatical evolution.
193-194
- Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation.
195-196
- Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbers.
197-198
- Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Stateful program representations for evolving technical trading rules.
199-200
- Carlton Downey, Mengjie Zhang:
Caching for parallel linear genetic programming.
201-202
- Clíodhna Tuite, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Early stopping criteria to counteract overfitting in genetic programming.
203-204
- William B. Langdon:
Generalisation in genetic programming.
205-206
Generative and developmental systems track posters
Parallel evolutionary systems track posters
Real world applications track posters
- Abhinav Malhotra, Varun Aggarwal:
HIER-HEIR: an evolutionary system with hierarchical representation & contextual operators applied to fashion design.
215-216
- Jeong-min Yu, Sang-Goog Lee, Moongu Jeon:
Medical image segmentation by hybridizing ant colony optimization and fuzzy clustering algorithm.
217-218
- Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez:
Evolving sparsely connected neural networks for multi-step ahead forecasting.
219-220
- Andy Song, Feng Xie:
Evolving automatic frame splitters.
221-222
- Adam S. Banzi, Aurora T. R. Pozo, Elias Procópio Duarte Jr.:
Bio-inspired event dissemination in dynamic and decentralized networks.
223-224
- Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda:
Evolutionary failing-test generation for modern microprocessors.
225-226
- Eva Besada-Portas, Luis de la Torre, Alejandro Moreno, José Luis Risco-Martín:
Performance analysis of multiobjective bio-inspired UAV path planners.
227-228
- Ronald Hochreiter, Christoph Waldhauser:
Evolved election forecasts: using genetic algorithms in improving election forecast results.
229-230
- Forrest Stonedahl, David Anderson, William Rand:
When does simulated data match real data?
231-232
- Lydia Boudjeloud, Hanane Azzag:
A cooperative biomimetic approach for high dimensional data mining.
233-234
- Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Pavel Krömer:
A modified differential evolution for autonomous deployment and localization of sensor nodes.
235-236
- Paul Anton Letnes, Ingar Stian Nerbø, Lars Martin Sandvik Aas, Pål Gunnar Ellingsen, Morten Kildemo:
Genetic invention of fast and optimal broad-band stokes/mueller polarimeter designs.
237-238
- Victor Parque, Shingo Mabu, Kotaro Hirasawa:
Genetic network programming with changing structures for a novel stock selection model.
239-240
Search-based software engineering track posters
- José del Sagrado, Isabel María del Águila, Francisco Javier Orellana:
Requirements interaction in the next release problem.
241-242
- Josh L. Wilkerson, Daniel R. Tauritz:
Scalability of the coevolutionary automated software correction system.
243-244
- Martin Faunes, Marouane Kessentini, Houari A. Sahraoui:
Software clustering by example.
245-246
- Mike Papadakis, Nicos Malevris:
Automatic mutation based test data generation.
247-248
- Outi Räihä, Kai Koskimies, Erkki Mäkinen:
Multi-objective genetic synthesis of software architecture.
249-250
- Sebastian Bauersfeld, Stefan Wappler, Joachim Wegener:
An approach to automatic input sequence generation for GUI testing using ant colony optimization.
251-252
Self-* search track posters
- Mikdam Turkey, Riccardo Poli:
Social adaptive groups: a new approach for evolutionary optimisation based on social behaviour evolution.
253-254
- José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes:
On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems.
255-256
- Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross:
A hyper-heuristic for solving one and two-dimensional bin packing problems.
257-258
- Mátyás Brendel, Marc Schoenauer:
Instance-based parameter tuning for evolutionary AI planning.
259-260
- José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Santiago Enrique Conant-Pablos:
Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems.
261-262
- Jürgen Branke, Jawad Elomari:
Simultaneous tuning of metaheuristic parameters for various computing budgets.
263-264
Theory track posters
Evolutionary computation in practice
- Ian Cox:
Exploring opportunity spaces efficiently for fun and profit.
271-284
Evolutionary computation techniques for constraint handling
- Donagh Hatton, Diarmuid P. O'Donoghue:
Explorations on template-directed genetic repair using ancient ancestors and other templates.
325-332
- Martin Holena, David Linke, Lukás Bajer:
Case study: constraint handling in evolutionary optimization of catalytic materials.
333-340
- Antonio Fernández, Consolación Gil, Antonio López Márquez, Raul Baños, Maria Dolores Gil Montoya, María Parra:
A memetic algorithm for two-dimensional multi-objective bin-packing with constraints.
341-346
- Xue-Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa:
Combining PSO and local search to solve scheduling problems.
347-354
Fourteenth international workshop on learning classifier systems
- Kaveh Ahmadi Abhari, Ali Hamzeh, Sattar Hashemi:
Voting based learning classifier system for multi-label classification.
355-360
- Mohammad Behdad, Tim French, Luigi Barone, Mohammed Bennamoun:
PCA for improving the performance of XCSF in classification of high-dimensional problems.
361-368
- Ryan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, Jason H. Moore:
Random artificial incorporation of noise in a learning classifier system environment.
369-374
- Muhammad Iqbal, Mengjie Zhang, Will N. Browne:
Automatically defined functions for learning classifier systems.
375-382
- Martin V. Butz, Olivier Sigaud:
XCSF with local deletion: preventing detrimental forgetting.
383-390
- Manuel Filipe Santos, Wesley Mathew, Henrique Dinis Santos:
Grid data mining by means of learning classifier systems and distributed model induction.
391-398
Computational intelligence on consumer games and graphics hardware (CIGPU)
- Leandro F. Cupertino, Cleomar P. Silva, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Cristiana Bentes:
Evolving CUDA PTX programs by quantum inspired linear genetic programming.
399-406
- Yuji Sato, Naohiro Hasegawa, Mikiko Sato:
Acceleration of genetic algorithms for sudoku solution on many-core processors.
407-414
- William B. Langdon:
Debugging CUDA.
415-422
- William B. Langdon:
Performing with CUDA.
423-430
- Petr Pospichal, Eoin Murphy, Michael O'Neill, Josef Schwarz, Jirí Jaros:
Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware.
431-438
- Martín Pedemonte, Enrique Alba, Francisco Luna:
Bitwise operations for GPU implementation of genetic algorithms.
439-446
- Tony E. Lewis, George D. Magoulas:
Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs: computational intelligence on consumer games and graphics hardware.
447-454
- Tony E. Lewis, George D. Magoulas:
TMBL kernels for CUDA GPUs compile faster using PTX: computational intelligence on consumer games and graphics hardware.
455-462
- Simon Harding, Wolfgang Banzhaf:
Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET.
463-470
Medical applications of genetic and evolutionary computation (MedGEC)
- Harold Soh, Yiannis Demiris:
Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs.
471-478
- Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez:
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients.
479-486
- Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni, Mario Giacobini, Ferdinando Di Cunto:
Automatic hippocampus localization in histological images using PSO-based deformable models.
487-494
- Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho:
An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome.
495-502
- Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel:
Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system.
503-510
- Viktoria Dorfer, Stephan M. Winkler, Thomas Kern, Sophie A. Blank, Gerald Petz, Patrizia Faschang:
On the performance of evolutionary algorithms in biomedical keyword clustering.
511-518
Evolutionary computation and multi-agent systems and simulation (ECoMASS) - fifth annual workshop
1st workshop on evolutionary computation for designing generic algorithms
Bio-inspired solutions for wireless sensor networks (GECCO BIS-WSN 2011)
3rd symbolic regression and modeling workshop for GECCO 2011
Optimization by building and using probabilistic models (OBUPM-2011)
Scaling behaviours of landscapes,
parameters and algorithms
GreenIT evolutionary computation
Graduate students workshop
- Amit Benbassat, Moshe Sipper:
Evolving board-game players with genetic programming.
739-742
- Anke Endler, Martin V. Butz, Günter Daniel Rey:
Extracting adaptation strategies for e-learning programs with XCS.
743-746
- Mikdam Turkey, Riccardo Poli:
Investigating a new paradigm for designing evolutionary optimisation algorithms using social behaviour evolution.
747-750
- Erik Dovgan, Matjaz Gams, Bogdan Filipic:
A multiobjective optimization algorithm for discovering driving strategies.
751-754
- Armen Kherlopian, Francis A. Ortega, David J. Christini:
Cardiac myocyte model parameter sensitivity analysis and model transformation using a genetic algorithm.
755-758
- Fedor Tsarev, Kirill Egorov:
Finite state machine induction using genetic algorithm based on testing and model checking.
759-762
- Maxim Buzdalov:
Generation of tests for programming challenge tasks using evolution algorithms.
763-766
- Stefano Nichele:
Discrete dynamics of cellular machines: specification and interpretation.
767-770
- Saúl Zapotecas Martínez, Carlos A. Coello Coello:
Swarm intelligence guided by multi-objective mathematical programming techniques.
771-774
- Anton Alexandrov, Alexey Sergushichev, Sergey Kazakov, Fedor Tsarev:
Genetic algorithm for induction of finite automata with continuous and discrete output actions.
775-778
- Eoin Murphy:
Examining grammars and grammatical evolution in dynamic environments.
779-782
- David Fagan:
Genotype-phenotype mapping in dynamic environments with grammatical evolution.
783-786
- Sunith Bandaru, Kalyanmoy Deb:
Design knowledge extraction in multi-objective optimization problems.
787-790
- António Manuel R. Manso, Luís Miguel P. Correia:
MuGA: multiset genetic algorithm.
791-794
- Rogelio Salinas-Gutiérrez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
Estimation of distribution algorithms based on copula functions.
795-798
- Thomas Helmuth, Lee Spector, Brian Martin:
Size-based tournaments for node selection.
799-802
Late breaking abstracts workshop
- Zann Gill:
Collaborative intelligence in living systems: algorithmic implications of evo-devo debates.
803-804
- Emily M. Zechman, Marcio H. Giacomoni, M. Ehsan Shafiee:
A multi-objective niching co-evolutionary algorithm (MNCA) for identifying diverse sets of non-dominated solutions.
805-806
- David Andrew Cape, Daniel R. Tauritz:
Probabilistically interpolated rational hypercube landscape evolutionary algorithm.
807-808
- Sameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman:
Pricing transmission rights using ant colony optimization.
809-810
- Stephen Chen, James Montgomery:
A simple strategy to maintain diversity and reduce crowding in particle swarm optimization.
811-812
- Cem Celal Tutum, Zhun Fan:
Automatic synthesis of MEMS devices using self-adaptive hybrid metaheuristics.
813-814
- Olivier Regnier-Coudert, John A. W. McCall:
Privacy-preserving approach to bayesian network structure learning from distributed data.
815-816
- Sylvain Koos, Jean-Baptiste Mouret:
Online adaptation of locomotion with evolutionary algorithms: a transferability-based approach.
817-818
- José Pinto, Rui Ferreira Neves, Nuno Horta:
Fitness function evaluation for MA trading strategies based on genetic algorithms.
819-820
- Lisa Jing Yan, Nick Cercone:
Bayesian networks learning for strategies in artificial life.
821-822
- Mikiko Sato, Yuji Sato, Mitaro Namiki:
Acceleration experiment of genetic computations for sudoku solution on multi-core processors.
823-824
- Jong-Hyun Lee, Chang Wook Ahn:
Improving energy efficiency based on behavioral model in a swarm of cooperative foraging robots.
825-826
- Pedro Sousa, Carla Duarte, Manuel F. M. Barros, Jorge Guilherme, Nuno Horta:
Optimal OpAmp sizing based on a fuzzy-genetic kernel.
827-828
- Wojciech Jaskowski, Krzysztof Krawiec:
How many dimensions in co-optimization.
829-830
- Filippo Caschera, Martin M. Hanczyc, Steen Rasmussen:
Machine learning for drug design, molecular machines and evolvable artificial cells.
831-832
- Todor Dimitrov, Michael Baumann:
Genetic algorithm with genetic engineering technology for multi-objective dynamic job shop scheduling problems.
833-834
- David Iclanzan, Péter István Fülöp, Camelia Chira, Anca Gog:
Towards the efficient evolution of particle-based computation in cellular automata.
835-836
- Daniel Leal Souza, Glauber Duarte Monteiro, Tiago Carvalho Martins, Victor Alexandrovich Dmitriev, Otávio Noura Teixeira:
PSO-GPU: accelerating particle swarm optimization in CUDA-based graphics processing units.
837-838
Introductory tutorials
Advanced tutorials
Specialized techniques and applications
Last update Fri May 25 08:14:37 2012
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
