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ORCIDGECCO 2011: Dublin, Ireland - Companion Material
- Natalio Krasnogor, Pier Luca Lanzi:
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 Rodríguez 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 Bredèche:
Emergence of altruism in open-ended evolution in a population of autonomous agents. 25-26 - A. E. Eiben, N. Ferreira, Martijn C. Schut, Serge 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
- Theodore W. Cornforth, Jim Tørresen, Hod Lipson:
Ion channel modeling with analog circuit evolution. 33-34 - Kristopher Hoover, Rachel Marceau, Tyndall Harris, Nicholas E. Hardison, David M. Reif, Alison A. Motsinger-Reif:
Optimization of grammatical evolution decision trees. 35-36
Digital entertainment technologies and arts track posters
- Denis Pallez, Andrea Tettamanzi, Célia da Costa Pereira:
Comparing paired comparison-based interactive DE and tournament interactive GA on stained glass design. 37-38 - Eduardo Vázquez-Fernández, Carlos Artemio Coello Coello, Feliu Davino Sagols Troncoso:
An adaptive evolutionary algorithm based on typical chess problems for tuning a chess evaluation function. 39-40 - Johannes H. Jensen, Pauline C. Haddow:
Evolutionary music composition based on Zipf's law. 41-42 - Jonathan Byrne, Erik Hemberg, Michael O'Neill:
Interactive operators for evolutionary architectural design. 43-44
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. Kai 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 Ira Harrington:
Fecundity and selectivity in evolutionary computation. 129-130 - Marcelo Beckmann, Beatriz Souza Leite Pires 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 Dario 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
- Terence Soule, Robert B. Heckendorn:
Developmental scalable hierarchies for multi-agent swarms. 207-208 - Robin Harper:
Dynamic l-systems in GE. 209-210
Parallel evolutionary systems track posters
- Zhi-hui Zhan, Jun Zhang:
Co-evolutionary differential evolution with dynamic population size and adaptive migration strategy. 211-212 - Juan Porta, Jorge Parapar, Guillermo L. Taboada, Ramon Doallo, Francisco F. Rivera, Inés Santé, Marcos Suárez, Marcos Boullón, Rafael Crecente:
A Java-based parallel genetic algorithm for the land use planning problem. 213-214
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 P. 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
- Chao Qian, Yang Yu, Zhi-Hua Zhou:
Collisions are helpful for computing unique input-output sequences. 265-266 - Marc Schoenauer, Fabien Teytaud, Olivier Teytaud:
Simple tools for multimodal optimization. 267-268 - Selmar K. Smit, Zoltán Szlávik, Ágoston E. Eiben:
Population diversity index: a new measure for population diversity. 269-270
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 Concepción 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 M. 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 Pereira da 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
- Syed Md. Galib, Irene Moser:
Road traffic optimisation using an evolutionary game. 519-526 - Mikdam Turkey, Riccardo Poli:
A social behaviour evolution approach for evolutionary optimisation. 527-534 - Gideon M. Gluckman, Joanna Bryson:
An agent-based model of the effects of a primate social structure on the speed of natural selection. 535-542 - M. Ehsan Shafiee, Emily M. Zechman:
Sociotechnical simulation and evolutionary algorithm optimization for routing siren vehicles in a water distribution contamination event. 543-550 - Robert Junges, Franziska Klügl:
Evolution for modeling: a genetic programming framework for sesam. 551-558 - Wei Guo, Wolfgang Jank, William Rand:
Estimating functional agent-based models: an application to bid shading in online markets format. 559-566
1st workshop on evolutionary computation for designing generic algorithms
- Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Towards the automatic design of decision tree induction algorithms. 567-574 - Brian W. Goldman, Daniel R. Tauritz:
Self-configuring crossover. 575-582 - John Robert Woodward, Jerry Swan:
Automatically designing selection heuristics. 583-590 - Mátyás Brendel, Marc Schoenauer:
Instance-based parameter tuning for evolutionary AI planning. 591-598
Bio-inspired solutions for wireless sensor networks (GECCO BIS-WSN 2011)
- Giovanni Comarela, Kênia Carolina Gonçalves, Gisele Lobo Pappa, Jussara M. Almeida, Virgílio A. F. Almeida:
Robot routing in sparse wireless sensor networks with continuous ant colony optimization. 599-606 - André Siqueira Ruela, André Luiz Lins de Aquino, Frederico Gadelha Guimarães:
A cooperative coevolutionary algorithm for the design of wireless sensor networks: track name: bio-inspired solutions for wireless sensor networks. 607-614 - Hugo Hernández, Christian Blum:
Implementing a model of Japanese tree frogs' calling behavior in sensor networks: a study of possible improvements. 615-622
3rd symbolic regression and modeling workshop for GECCO 2011
- Sean Stijven, Wouter Minnebo, Katya Vladislavleva:
Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression. 623-630 - Gabriel Kronberger, Michael Kommenda, Michael Affenzeller:
Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. 631-638 - Erik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen:
A symbolic regression approach to manage femtocell coverage using grammatical genetic programming. 639-646 - Luis M. Torres-Treviño:
Symbolic regression using α- β operators and estimation of distribution algorithms: preliminary results. 647-654 - Kenneth L. Holladay, John Marshall Sharp, Marc Janssens:
Automatic pyrolysis mass loss modeling from thermo-gravimetric analysis data using genetic programming. 655-662
Optimization by building and using probabilistic models (OBUPM-2011)
- Peter A. N. Bosman, Dirk Thierens:
The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective. 663-670 - Cezary Z. Janikow, John W. Aleshunas, Mark Hauschild:
Second order heuristics in ACGP. 671-678 - Roberto Santana:
Estimation of distribution algorithms: from available implementations to potential developments. 679-686
Scaling behaviours of landscapes, parameters and algorithms
- Valentino Santucci, Alfredo Milani:
Covariance-based parameters adaptation in differential evolution. 687-690 - Carolina Salto, Enrique Alba, Francisco Luna:
Using landscape measures for the online tuning of heterogeneous distributed gas. 691-694 - Pilar Caamaño, José Antonio Becerra, Francisco Bellas, Richard J. Duro:
Are evolutionary algorithm competitions characterizing landscapes appropriately. 695-702 - Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle:
Tuning parameters across mixed dimensional instances: a performance scalability study of Sep-G-CMA-ES. 703-706 - David Corne, Alan P. Reynolds:
Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems. 707-710
GreenIT evolutionary computation
- Consolación Gil, Pedro Sánchez, Francisco G. Montoya, Antonio López Márquez:
Open source tool for energy saving and efficient system management. 711-718 - Jamal Toutouh, Enrique Alba:
An efficient routing protocol for green communications in vehicular ad-hoc networks. 719-726 - Álvaro Fialho, Youssef Hamadi, Marc Schoenauer:
Optimizing architectural and structural aspects of buildings towards higher energy efficiency. 727-732 - Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry:
Load balancing for sustainable ICT. 733-738
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 A. 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 Rodrigues Manso, Luís Miguel Parreira 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
- Erik D. Goodman:
Introduction to genetic algorithms. 839-860 - Una-May O'Reilly:
Genetic programming: a tutorial introduction. 861-874 - Thomas Bäck:
Evolution strategies: basic introduction. 875-898 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 899-912 - Martin Pelikan:
Probabilistic model-building genetic algorithms. 913-940 - Martin V. Butz:
Learning classifier systems. 941-962 - Christian Blum:
Ant colony optimization. 963-990 - Nikolaus Hansen, Anne Auger:
CMA-ES: evolution strategies and covariance matrix adaptation. 991-1010 - Risto Miikkulainen:
Evolving neural networks. 1011-1028
Advanced tutorials
- Jonathan E. Rowe:
Genetic algorithm theory. 1029-1052 - Thomas Jansen, Frank Neumann:
Computational complexity and evolutionary computation. 1053-1080 - Lee Spector:
Evolving quantum computer algorithms. 1081-1110 - Dimo Brockhoff:
Evolutionary multiobjective optimization. 1111-1136 - Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 1137-1160 - Natalio Krasnogor:
(Computational) synthetic biology. 1161-1190 - Franz Rothlauf:
Representations for evolutionary algorithms. 1191-1212 - Tobias Friedrich, Frank Neumann:
Foundations of evolutionary multi-objective optimization. 1213-1232
Specialized techniques and applications
- Carsten Witt:
Theory of randomized search heuristics in combinatorial optimization. 1233-1260 - Julian F. Miller, Simon L. Harding:
GECCO 2011 tutorial: cartesian genetic programming. 1261-1284 - Jaume Bacardit, Xavier Llorà:
Large scale data mining using genetics-based machine learning. 1285-1310 - Benjamin Doerr:
Drift analysis. 1311-1320 - Gabriela Ochoa, Matthew R. Hyde, Edmund K. Burke:
Automated heuristic design. 1321-1342 - Lukás Sekanina:
Evolution of digital circuits. 1343-1360 - Thomas Bartz-Beielstein, Mike Preuss:
Automatic and interactive tuning of algorithms. 1361-1380 - Dirk Sudholt:
Theory of swarm intelligence. 1381-1410 - Stefan Wagner, Gabriel Kronberger:
Algorithm and experiment design with heuristiclab: an open source optimization environment for research and education. 1411-1438 - Alberto Moraglio:
Geometry of evolutionary algorithms. 1439-1468 - Marco Tomassini:
Evolutionary games: the Darwin connection. 1469-1480 - Sara Silva:
Handling bloat in GP. 1481-1508
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