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ORCIDGECCO 2010: Portland, Oregon, USA
- Martin Pelikan, Jürgen Branke:
Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010. ACM 2010, ISBN 978-1-4503-0072-8
ACO/Swarm Intelligence Papers
- You Zhou, Ying Tan
:
Particle swarm optimization with triggered mutation and its implementation based on GPU. 1-8 - Ziyu Chen, Zhongshi He, Cheng Zhang:
Particle swarm optimizer with self-adjusting neighborhoods. 9-14 - Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri:
An empirical comparison of parallel and distributed particle swarm optimization methods. 15-22 - Ying Lin, Xiaomin Hu, Jun Zhang:
An ant-colony-system-based activity scheduling method for the lifetime maximization of heterogeneous wireless sensor networks. 23-30 - Wei-jie Yu, Jun Zhang:
Pheromone-distribution-based adaptive ant colony system. 31-38 - Zhi-hui Zhan, Jun Zhang:
Self-adaptive differential evolution based on PSO learning strategy. 39-46 - Nyree Lemmens, Karl Tuyls:
Stigmergic landmark routing: a routing algorithm for wireless mobile ad-hoc networks. 47-54 - Kalyanmoy Deb, Nikhil Padhye:
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. 55-62 - Frank Neumann, Dirk Sudholt, Carsten Witt:
A few ants are enough: ACO with iteration-best update. 63-70 - Manuel López-Ibáñez, Thomas Stützle:
The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP. 71-78
ACO/swarm intelligence posters
- Sarah Salim, Mohsin Javed, Ali Hammad Akbar:
Honey-bee dancing-inspired architecture for fault tolerance in wireless sensor networks. 79-80 - Zhi-hui Zhan, Jun Zhang:
An parallel particle swarm optimization approach for multiobjective optimization problems. 81-82 - Ammar W. Mohemmed, Mengjie Zhang, Will N. Browne:
Particle swarm optimisation for outlier detection. 83-84 - Jeremy B. Brown, Manfred Huber:
Pseudo-hierarchical ant-based clustering using a heterogeneous agent hierarchy and automatic boundary formation. 85-86
Artificial life/robotics/evolvable hardware papers
- Frederick Ducatelle, Gianni A. Di Caro, Luca Maria Gambardella:
Cooperative self-organization in a heterogeneous swarm robotic system. 87-94 - Marcin L. Pilat, Christian Jacob:
Evolution of vision capabilities in embodied virtual creatures. 95-102 - Joel Lehman, Kenneth O. Stanley:
Revising the evolutionary computation abstraction: minimal criteria novelty search. 103-110 - Josh C. Bongard, Gregory S. Hornby:
Guarding against premature convergence while accelerating evolutionary search. 111-118 - Sylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux:
Crossing the reality gap in evolutionary robotics by promoting transferable controllers. 119-126 - Matt Knudson, Kagan Tumer:
Coevolution of heterogeneous multi-robot teams. 127-134 - Heather Goldsby, David B. Knoester, Charles Ofria:
Evolution of division of labor in genetically homogenous groups. 135-142 - Brian D. Connelly, Benjamin E. Beckmann, Philip K. McKinley:
Resource abundance promotes the evolution of public goods cooperation. 143-150
Artificial life/robotics/evolvable hardware posters
- Jonathan D. Hiller, Hod Lipson:
Morphological evolution of freeform robots. 151-152 - Chrisantha Fernando:
Neuronal replicators solve the stability-plasticity dilemma. 153-154
Bioinformatics, computational, systems and synthetic biology papers
- Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong:
Protein structure prediction on a lattice model via multimodal optimization techniques. 155-162 - Antonella Farinaccio, Leonardo Vanneschi, Mario Giacobini, Giancarlo Mauri, Paolo Provero:
On the use of genetic programming for the prediction of survival in cancer. 163-170 - Leung-Yau Lo, Tak-Ming Chan, Kin-Hong Lee, Kwong-Sak Leung:
Challenges rising from learning motif evaluation functions using genetic programming. 171-178 - Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. 179-186 - Carlos García-Martínez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, Manuel Lozano:
P system model optimisation by means of evolutionary based search algorithms. 187-194 - Ryan J. Urbanowicz, Jason H. Moore:
The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies. 195-202 - Emily Rose Holzinger, Carrie C. Buchanan, Scott M. Dudek, Eric Torstenson, Stephen D. Turner, Marylyn D. Ritchie:
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects. 203-210
Bioinformatics, computational, systems and synthetic biology posters
- Emrah Atilgan, Jianjun Hu:
Efficient protein-ligand docking using sustainable evolutionary algorithm. 211-212 - Jirí Kubalík, Petr Buryan, Libor Wagner:
Solving the DNA fragment assembly problem efficiently using iterative optimization with evolved hypermutations. 213-214 - Nicholas A. Sinnott-Armstrong, Casey S. Greene, Jason H. Moore:
Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units. 215-216
Combinatorial optimization and metaheuristics papers
- He Jiang, Yudong Chen:
An efficient algorithm for generalized minimum spanning tree problem. 217-224 - Serban Iordache:
Consultant-guided search: a new metaheuristic for combinatorial optimization problems. 225-232 - Shelly Xiaonan Wu, Wolfgang Banzhaf:
A hierarchical cooperative evolutionary algorithm. 233-240 - Jacques Bibai, Pierre Savéant, Marc Schoenauer, Vincent Vidal:
On the generality of parameter tuning in evolutionary planning. 241-248 - Jirí Kubalík:
Efficient stochastic local search algorithm for solving the shortest common supersequence problem. 249-256 - Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reiter:
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach. 257-264 - K. M. Leung, Xi Zhang:
Discrete versus continuous parametrization of bank credit rating systems optimization using differential evolution. 265-272 - Forrest Stonedahl, Susa H. Stonedahl:
Heuristics for sampling repetitions in noisy landscapes with fitness caching. 273-280 - Zhigang Ren, Zuren Feng:
An ant colony optimization approach to the multiple-choice multidimensional knapsack problem. 281-288
Combinatorial optimization and metaheuristics posters
- Erkan Dogan, Ferhat Erdal, Mehmet Polat Saka:
Optimum design of grillage systems under code provisions using particle swarm optimization. 289-290 - Juan Julián Merelo Guervós, Antonio Miguel Mora, Thomas Philip Runarsson:
Beating exhaustive search at its own game: revisiting evolutionary mastermind. 291-292 - Chun-Wei Tsai, Shih-Pang Tseng, Ming-Chao Chiang, Chu-Sing Yang:
A framework for accelerating metaheuristics via pattern reduction. 293-294 - Steven O. Kimbrough, Ann Kuo, Hoong Chuin Lau:
Effective heuristic methods for finding non-optimal solutions of interest in constrained optimization models. 295-296 - Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón:
Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. 297-298 - Elizabeth Montero, María Cristina Riff, Bertrand Neveu:
An evaluation of off-line calibration techniques for evolutionary algorithms. 299-300 - Wolfgang Steitz, Franz Rothlauf:
Solving OCST problems with problem-specific guided local search. 301-302
Estimation of distribution algorithms (papers)
- Elizabeth Radetic, Martin Pelikan:
Spurious dependencies and EDA scalability. 303-310 - Chung-Yao Chuang, Wen-Lian Hsu:
Multivariate multi-model approach for globally multimodal problems. 311-318 - Jinghui Zhong, Jun Zhang:
A robust estimation of distribution algorithm for power electronic circuits design. 319-326 - Jiadong Yang, Hua Xu, Yunpeng Cai, Peifa Jia:
Effective structure learning for EDA via L1-regularizedbayesian networks. 327-334 - Hoang N. Luong, Hai T. T. Nguyen, Chang Wook Ahn:
Entropy-based substructural local search for the bayesian optimization algorithm. 335-342 - Hai T. T. Nguyen, Hoang N. Luong, Chang Wook Ahn:
Entropy measurement-based estimation model for bayesian optimization algorithm. 343-350 - Peter A. N. Bosman:
The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization. 351-358 - Rogelio Salinas-Gutiérrez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
D-vine EDA: a new estimation of distribution algorithm based on regular vines. 359-366
Estimation of distribution algorithms poster
- Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Torkaman Rahmani:
A new DSM clustering algorithm for linkage groups identification. 367-368
Evolution strategies and evolutionary programming papers
- Alexander Melkozerov, Hans-Georg Beyer:
On the analysis of self-adaptive evolution strategies on elliptic model: first results. 369-376 - Andreas M. Chwatal, Günther R. Raidl, Michael Zöch:
Fitting multi-planet transit models to photometric time-data series by evolution strategies. 377-384 - Dirk V. Arnold, Nikolaus Hansen:
Active covariance matrix adaptation for the (1+1)-CMA-ES. 385-392 - Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber:
Exponential natural evolution strategies. 393-400 - Mike Preuss, Günter Rudolph, Simon Wessing:
Tuning optimization algorithms for real-world problems by means of surrogate modeling. 401-408 - Wenyin Gong, Álvaro Fialho, Zhihua Cai:
Adaptive strategy selection in differential evolution. 409-416
Evolution strategies and evolutionary programming posters
- Haiping Ma, Dan Simon:
Biogeography-based optimization with blended migration for constrained optimization problems. 417-418 - Eloy Gonzales, Shingo Mabu, Karla Taboada, Kotaro Hirasawa, Kaoru Shimada:
Pruning association rules using statistics and genetic relation algoritm. 419-420 - Ofer M. Shir, Jonathan Roslund, Herschel Rabitz:
Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination. 421-422
Evolutionary multiobjective optimization papers
- Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu, Jingjing Ma:
A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimization. 423-430 - Darrell F. Lochtefeld, Frank W. Ciarallo:
Deterministic helper-objective sequences applied to job-shop scheduling. 431-438 - Jacob Schrum, Risto Miikkulainen:
Evolving agent behavior in multiobjective domains using fitness-based shaping. 439-446 - Kalyanmoy Deb, Amit Saha:
Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach. 447-454 - Tamara Ulrich, Johannes Bader, Eckart Zitzler:
Integrating decision space diversity into hypervolume-based multiobjective search. 455-462 - Miqing Li, Jinhua Zheng, Ruimin Shen, Ke Li, Qizhao Yuan:
A grid-based fitness strategy for evolutionary many-objective optimization. 463-470 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
A mono surrogate for multiobjective optimization. 471-478 - Deepak Sharma, Pierre Collet:
An archived-based stochastic ranking evolutionary algorithm (asrea) for multi-objective optimization. 479-486 - Thomas Voß, Nikolaus Hansen, Christian Igel:
Improved step size adaptation for the MO-CMA-ES. 487-494 - Rudolf Berghammer, Tobias Friedrich, Frank Neumann:
Set-based multi-objective optimization, indicators, and deteriorative cycles. 495-502 - Oliver Kramer, Holger Danielsiek:
DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets. 503-510 - Karl Bringmann, Tobias Friedrich:
The maximum hypervolume set yields near-optimal approximation. 511-518 - Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Simultaneous use of different scalarizing functions in MOEA/D. 519-526 - Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. 527-534
Evolutionary multiobjective optimization posters
- Francesco Folino, Clara Pizzuti:
Multiobjective evolutionary community detection for dynamic networks. 535-536 - Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A multi-objective meta-model assisted memetic algorithm with non gradient-based local search. 537-538 - D. Dumitrescu, Rodica Ioana Lung, Réka Nagy, Daniela Zaharie, Attila Bartha:
Exploring evolutionary detected fuzzy equilibria: a link between normative theory and real life. 539-540 - Anke K. Hutzschenreuter, Peter A. N. Bosman, Han La Poutré:
Enhanced hospital resource management using anticipatory policies in online dynamic multi-objective optimization. 541-542 - Michael D. Schmidt, Hod Lipson:
Age-fitness pareto optimization. 543-544 - Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Moving away from error-based learning in multi-objective estimation of distribution algorithms. 545-546
Generative and developmental systems papers
- Phillip Verbancsics, Kenneth O. Stanley:
Transfer learning through indirect encoding. 547-554 - Keith L. Downing:
The baldwin effect in developing neural networks. 555-562 - Sebastian Risi, Joel Lehman, Kenneth O. Stanley:
Evolving the placement and density of neurons in the hyperneat substrate. 563-570 - Till Steiner, Yaochu Jin, Bernhard Sendhoff:
Evolving heterochrony for cellular differentiation using vector field embryogeny. 571-578 - Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision. 579-586 - Jean-Baptiste Mouret, Stéphane Doncieux, Benoît Girard:
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia. 587-594 - Martin Trefzer, Tüze Kuyucu, Julian F. Miller, Andy M. Tyrrell:
Image compression of natural images using artificial gene regulatory networks. 595-602 - David B. Knoester, Heather Goldsby, Philip K. McKinley:
Neuroevolution of mobile ad hoc networks. 603-610 - Hirotaka Moriguchi, Shinichi Honiden:
Sustaining behavioral diversity in NEAT. 611-618 - Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber:
Evolving neural networks in compressed weight space. 619-626 - Joshua Evan Auerbach, Josh C. Bongard:
Evolving CPPNs to grow three-dimensional physical structures. 627-634 - Jeff Clune, Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria:
Investigating whether hyperNEAT produces modular neural networks. 635-642
Generative and developmental systems posters
- Josh C. Bongard:
Morphological scaffolding: how evolution and development improve robot behavior generation. 643-644 - Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter:
NEATfields: evolution of neural fields. 645-646 - Terence Soule, Robert B. Heckendorn:
A developmental algorithm for multi-agent swarms with scalable hierarchies. 647-648
Genetic algorithms papers
- Robert Collier, Mark Wineberg:
Approaches to multidimensional scaling for adaptive landscape visualization. 649-656 - Justin Benjamin, Bryant A. Julstrom:
Breaking ties with secondary fitness in a genetic algorithm for the bin packing problem. 657-664 - Martin Pelikan:
NK landscapes, problem difficulty, and hybrid evolutionary algorithms. 665-672 - Wenjin Chen, Kwok Yip Szeto:
Complex energy landscape mapping by histogram assisted genetic algorithm. 673-680 - Roi Yehoshua, Mireille Avigal, Ron Unger:
Analysis of the effects of lifetime learning on population fitness using vose model. 681-688 - Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joydeep Dutta:
Investigating EA solutions for approximate KKT conditions in smooth problems. 689-696 - Ta-Chun Lien, Tian-Li Yu, Ying-Shiuan You:
Co-evolution of cooperative strategies under egoism. 697-704 - Thomas Jansen, Christine Zarges:
Aging beyond restarts. 705-712 - Mark Hauschild, Martin Pelikan:
Network crossover performance on NK landscapes and deceptive problems. 713-720 - Fatemeh Vafaee, György Turán, Peter C. Nelson:
Optimizing genetic operator rates using a markov chain model of genetic algorithms. 721-728 - Yun Wen, Hua Xu, Jiadong Yang:
A heuristic-based hybrid genetic algorithm for heterogeneous multiprocessor scheduling. 729-736 - Prakarn Unachak, Erik D. Goodman:
Solving multiobjective flexible job-shop scheduling using an adaptive representation. 737-742 - Bernadete Maria de Mendonça Neta, Gustavo Henrique Diniz Araújo, Frederico Gadelha Guimarães, Renato Cardoso Mesquita:
A hybrid genetic algorithm for automatic graph drawing based on the topology-shape-metric approach. 743-750 - André da Motta Salles Barreto, Heder S. Bernardino, Helio J. C. Barbosa:
Probabilistic performance profiles for the experimental evaluation of stochastic algorithms. 751-758 - Benjamin Doerr, Daniel Johannsen:
Edge-based representation beats vertex-based representation in shortest path problems. 759-766 - Álvaro Fialho, Marc Schoenauer, Michèle Sebag:
Toward comparison-based adaptive operator selection. 767-774 - Severino F. Galán, Ole J. Mengshoel:
Generalized crowding for genetic algorithms. 775-782 - Phillipa Avery, Sushil J. Louis:
Coevolving influence maps for spatial team tactics in a RTS game. 783-790 - Benjamin P. Carlson, Dean F. Hougen:
Phenotype feedback genetic algorithm operators for heuristic encoding of snakes within hypercubes. 791-798 - John Crofford, Brent E. Eskridge, Dean F. Hougen:
Applying the triple parameter hypothesis to maintenance scheduling. 799-806 - Jason E. Cook, Daniel R. Tauritz:
An exploration into dynamic population sizing. 807-814
Genetic algorithms posters
- Aram Ter-Sarkisov, Stephen R. Marsland, Barbara R. Holland:
The K-bit-swap: a new genetic algorithm operator. 815-816 - Roberto De Prisco, Gianluca Zaccagnino, Rocco Zaccagnino:
EvoBassComposer: a multi-objective genetic algorithm for 4-voice compositions. 817-818 - Farhad Nadi, Ahamad Tajudin Abdul Khader, Mohammed Azmi Al-Betar:
Adaptive genetic algorithm using harmony search. 819-820 - Vladimir V. Kureichik, Boris K. Lebedev, Oleg B. Lebedev:
Hybrid evolutionary algorithm of planning VLSI. 821-822 - Matthew A. Addicoat, Zoe E. Brain:
Using a Meta-GA for parametric optimization of simple gas in the computational chemistry domain. 823-824 - Hazem M. Abbas:
Mixed-coded evolutionary algorithm for Gaussian mixture maximum likelihood clustering with model selection. 825-826 - D. Dumitrescu, Rodica Ioana Lung, Noémi Gaskó, Tudor Dan Mihoc:
Evolutionary detection of aumann equilibrium. 827-828 - Anna Isabel Esparcia-Alcázar, Anaís Martínez-García, Antonio Miguel Mora, Juan Julián Merelo Guervós, Pablo García-Sánchez:
Genetic evolution of fuzzy finite state machines to control bots in a first-person shooter game. 829-830 - Patricia Ortegon-Cano, Diego A. Hartasánchez, Christopher R. Stephens:
Why recombination should be adaptive. 831-832 - Timothy Meekhof, Terence Soule:
Noise pressure: systematic overestimation of population fitness in genetic algorithms with noisy fitness functions. 833-834 - Juan Arturo Herrera Ortiz, Carlos Oliver-Morales, Katya Rodríguez-Vázquez:
Amount and type of information: a GA-hardness taxonomy. 835-836
Genetic programming papers
- Joel Lehman, Kenneth O. Stanley:
Efficiently evolving programs through the search for novelty. 837-844 - Urvesh Bhowan, Mengjie Zhang, Mark Johnston:
AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data. 845-852 - Peter Lichodzijewski, Malcolm I. Heywood:
Symbiosis, complexification and simplicity under GP. 853-860 - Leonardo Trujillo, Pierrick Legrand, Jacques Lévy Véhel:
The estimation of hölderian regularity using genetic programming. 861-868 - Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O'Neill, Bob McKay:
Semantics based crossover for boolean problems. 869-876 - Leonardo Vanneschi, Mauro Castelli, Sara Silva:
Measuring bloat, overfitting and functional complexity in genetic programming. 877-884 - Carlton Downey, Mengjie Zhang, Will N. Browne:
New crossover operators in linear genetic programming for multiclass object classification. 885-892 - R. Muhammad Atif Azad, Conor Ryan:
Abstract functions and lifetime learning in genetic programming for symbolic regression. 893-900 - Edgar Galván López, James McDermott, Michael O'Neill, Anthony Brabazon:
Towards an understanding of locality in genetic programming. 901-908 - Amelia Zafra, Sebastián Ventura:
Grammar guided genetic programming for multiple instance learning: an experimental study. 909-916 - Cassio Pennachin, Moshe Looks, João Antônio de Vasconcelos:
Robust symbolic regression with affine arithmetic. 917-924 - Josh C. Bongard:
A probabilistic functional crossover operator for genetic programming. 925-932 - Douglas Adriano Augusto, Helio José Corrêa Barbosa, Nelson Francisco Favilla Ebecken:
Coevolutionary multi-population genetic programming for data classification. 933-940 - Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly:
Knowledge mining with genetic programming methods for variable selection in flavor design. 941-948 - Michael D. Schmidt, Hod Lipson:
Predicting solution rank to improve performance. 949-956 - Blair Foster, Anil Somayaji:
Object-level recombination of commodity applications. 957-964 - Ethan Fast, Claire Le Goues, Stephanie Forrest, Westley Weimer:
Designing better fitness functions for automated program repair. 965-972
Genetic programming posters
- Henrique G. Momm, Greg Easson:
Population restarting: a study case of feature extraction from remotely sensed imagery using textural information. 973-974 - David F. Barrero, David Camacho, María D. R.-Moreno:
Confidence intervals of success rates in evolutionary computation. 975-976 - Dilip P. Ahalpara:
Improved forecasting of time series data of real system using genetic programming. 977-978 - Jun Wang, Ying Tan:
A novel genetic programming based morphological image analysis algorithm. 979-980 - Dara Curran, Eugene C. Freuder, Thomas Jansen:
Incremental evolution of local search heuristics. 981-982 - Zbysek Gajda, Lukás Sekanina:
When does Cartesian genetic programming minimize the phenotype size implicitly? 983-984 - Cruz E. Borges, César Luis Alonso, José L. Montaña:
Model selection in genetic programming. 985-986 - Michael McMullin, Terence Soule:
Constant versus variable arity operators in genetic programming. 987-988 - Fernando Alonso, Loïc Martínez, Agustín Santamaría, Aurora Pérez-Pérez, Juan Pedro Valente:
GGGP-based method for modeling time series: operator selection, parameter optimization and expert evaluation. 989-990
Genetics based machine learning
- Carlos D. Toledo-Suárez:
A first assessment of the use of extended relational alphabets in accuracy classifier systems. 991-998 - Edward P. Manning:
Coevolution in a large search space using resource-limited nash memory. 999-1006 - Ulf Johansson, Rikard König, Lars Niklasson:
Genetic rule extraction optimizing brier score. 1007-1014 - Clemens Lode, Urban Richter, Hartmut Schmeck:
Adaption of XCS to multi-learner predator/prey scenarios. 1015-1022 - Albert Orriols-Puig, Xavier Llorà, David E. Goldberg:
How XCS deals with rarities in domains with continuous attributes. 1023-1030 - Matthijs Snel, Shimon Whiteson:
Multi-task evolutionary shaping without pre-specified representations. 1031-1038 - María A. Franco, Natalio Krasnogor, Jaume Bacardit:
Speeding up the evaluation of evolutionary learning systems using GPGPUs. 1039-1046 - Maciej Liskiewicz, Johannes Textor:
Negative selection algorithms without generating detectors. 1047-1054 - Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
In search of targeted-complexity problems. 1055-1062 - Ruochen Liu, Hejun Ning, Wei Zhang, Licheng Jiao:
A clonal selection clustering algorithm using pointed symmetry-based distance measure. 1063-1064 - Chi Su, Yang Gao, Chun Cao:
Learning classifier system using both labeled and unlabeled data. 1065-1066 - Mohammad Behdad, Tim French, Luigi Barone, Mohammed Bennamoun:
On the problems of using learning classifier systems for fraud detection. 1067-1068 - Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, Roberto Célio Limão de Oliveira, Samuel F. S. Junior, Bianchi Serique Meiguins:
An estimation of distribution algorithm for the automatic generation of clustering algorithms. 1069-1070 - Petr Buryan, Jirí Kubalík:
Context-sensitive refinements for stochasticoptimization algorithms in inductive logic programming. 1071-1072 - Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen:
Emergence of competitive and cooperative behavior using coevolution. 1073-1074
Parallel evolutionary systems papers
- Maxwell Walton, Gary Gréwal, Gerarda A. Darlington:
Parallel FPGA-based implementation of scatter search. 1075-1082 - Gabriel Luque, Enrique Alba:
Selection pressure and takeover time of distributed evolutionary algorithms. 1083-1088 - Thé Van Luong, Nouredine Melab, El-Ghazali Talbi:
GPU-based island model for evolutionary algorithms. 1089-1096 - Dana Vrajitoru:
Shared memory genetic algorithms in a multi-agent context. 1097-1104 - Jörg Lässig, Dirk Sudholt:
The benefit of migration in parallel evolutionary algorithms. 1105-1112
Parallel evolutionary systems posters
- Chi Zhou:
Fast parallelization of differential evolution algorithm using MapReduce. 1113-1114
Real world applications papers
- Kaoru Shimada, Kotaro Hirasawa:
A method of association rule analysis for incomplete database using genetic network programming. 1115-1122 - Max Salichon, Kagan Tumer:
A neuro-evolutionary approach to micro aerial vehicle control. 1123-1130 - Jack F. Shepherd III, Kagan Tumer:
Robust neuro-control for a micro quadrotor. 1131-1138 - Garnett Carl Wilson, Wolfgang Banzhaf:
Interday foreign exchange trading using linear genetic programming. 1139-1146 - Leonardo Trujillo, Pierrick Legrand, Gustavo Olague, Cynthia B. Pérez:
Optimization of the hölder image descriptor using a genetic algorithm. 1147-1154 - Christie Myburgh, Kalyanmoy Deb:
Evolutionary algorithms in large-scale open pit mine scheduling. 1155-1162 - Aaron Garrett, Zizhong Chen, Daniel Eric Smith:
Constructing numerically stable real number codes using evolutionary computation. 1163-1170 - Jirí Jaros, Vaclav Dvorak:
Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCs. 1171-1178 - Keehyung Kim, Robert Ian (Bob) McKay, Byung Ro Moon:
Multiobjective evolutionary algorithms for dynamic social network clustering. 1179-1186 - Edgar Reehuis, Thomas Bäck:
Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization. 1187-1194 - Forrest Stonedahl, William Rand, Uri Wilensky:
Evolving viral marketing strategies. 1195-1202 - Mohammed Azmi Al-Betar, Ahamad Tajudin Abdul Khader, Farhad Nadi:
Selection mechanisms in memory consideration for examination timetabling with harmony search. 1203-1210 - Keehyung Kim, Byung Ro Moon:
Malware detection based on dependency graph using hybrid genetic algorithm. 1211-1218 - Seung-Kyu Lee, Byung Ro Moon:
A new modular genetic programming for finding attractive technical patterns in stock markets. 1219-1226 - José Manuel Colmenar, José L. Risco-Martín, David Atienza, Oscar Garnica, José Ignacio Hidalgo, Juan Lanchares:
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution. 1227-1234 - Mirela Ovreiu, Dan Simon:
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease. 1235-1242 - Giovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia:
Multi-objective optimization of doping profile in semiconductor design. 1243-1250 - Gerulf K. M. Pedersen, Martin V. Butz:
Evolving robust controller parameters using covariance matrix adaptation. 1251-1258 - Nikhil Padhye, Kalyanmoy Deb:
Evolutionary multi-objective optimization and decision making for selective laser sintering. 1259-1266 - Marco Ceriani, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Antonino Tumeo:
Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation. 1267-1274 - Makoto Tanji, Hitoshi Iba:
ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolution. 1275-1282 - Steven O. Kimbrough, Ann Kuo:
On heuristics for two-sided matching: revisiting the stable marriage problem as a multiobjective problem. 1283-1290 - Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly:
Evolutionary optimization of flavors. 1291-1298 - Elijah Mayfield, Carolyn Penstein Rosé:
Using feature construction to avoid large feature spaces in text classification. 1299-1306
Real world applications posters
- Alejandro Pazos Sierra, Vicente Ponsoda:
Shorter, more reliable and valid tests by means of a genetic algorithm. 1307-1308 - Yoon-Seok Choi, Bon-Ki Koo, Byung Ro Moon:
Optimization of an image set by genetic feature selection for real-time photomosaics. 1309-1310 - Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara:
Adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation. 1311-1312 - Lu Yu, Shingo Mabu, Jin Zhou, Shinji Eto, Kotaro Hirasawa:
A double-deck elevator systems controller with idle cage assignment algorithm using genetic network programming. 1313-1314 - Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting. 1315-1316 - David Mosnier, Frédéric Gillot, Antoine Ducloux, Mohamed Ichchou:
Integrated pre-design step methodology based onmulti-objective evolutionary optimization. 1317-1318 - Ying-Shiuan You, Tian-Li Yu, Ta-Chun Lien:
Psychological preference-based optimization framework on the nurse scheduling problem. 1319-1320 - Mikiko Sato, Yuji Sato, Mitaro Namiki:
Proposal of a multi-core processor architecture for effective evolutionary computation. 1321-1322 - Cem Celal Tutum, Jesper Henri Hattel:
Multi-objective optimization of process parameters in friction stir welding. 1323-1324 - Sohini Roychoudhury, Sanjoy Das, Caterina M. Scoglio, Swagatam Das, Bijaya K. Panigrahi, Shyam S. Pattnaik:
Mitigation strategies in epidemics: evolutionary optimization using a hierarchy of objective functions. 1325-1326 - Ralph Evins, Philip Pointer, Ravi Vaidyanathan:
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings. 1327-1328 - Stefano Di Carlo, Ernesto Sánchez, Alberto Scionti, Giovanni Squillero, Alberto Paolo Tonda, Matteo Falasconi:
Towards drift correction in chemical sensors using an evolutionary strategy. 1329-1330 - Muhammad Jamal Afridi, Salman Manzoor, Umer Rasheed, Mariam Ahmed, Faraz Kunwar:
Performance evaluation of evolutionary algorithms for road detection. 1331-1332
Search-based software engineering papers
- He Jiang, Jifeng Xuan, Zhilei Ren:
Approximate backbone based multilevel algorithm for next release problem. 1333-1340 - Adam C. Jensen, Betty H. C. Cheng:
On the use of genetic programming for automated refactoring and the introduction of design patterns. 1341-1348 - Andreas Windisch:
Search-based test data generation from stateflow statecharts. 1349-1356 - Yuanyuan Zhang, Enrique Alba, Juan José Durillo, Sigrid Eldh, Mark Harman:
Today/future importance analysis. 1357-1364 - Zhihong Xu, Myra B. Cohen, Gregg Rothermel:
Factors affecting the use of genetic algorithms in test suite augmentation. 1365-1372 - Alexander P. Conrad, Robert S. Roos, Gregory M. Kapfhammer:
Empirically studying the role of selection operators duringsearch-based test suite prioritization. 1373-1380 - Mathew Hall, Phil McMinn, Neil Walkinshaw:
Superstate identification for state machines using search-based clustering. 1381-1388
Search-based software engineering posters
- Thomas Kremmel, Jirí Kubalík, Stefan Biffl:
Multiobjective evolutionary algorithm for software project portfolio optimization. 1389-1390 - Josh L. Wilkerson, Daniel R. Tauritz:
Coevolutionary automated software correction. 1391-1392
Theory papers
- Timo Kötzing, Per Kristian Lehre, Frank Neumann, Pietro S. Oliveto:
Ant colony optimization and the minimum cut problem. 1393-1400 - Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical analysis of evolutionary computation on continuously differentiable functions. 1401-1408 - L. Darrell Whitley, Francisco Chicano, Enrique Alba, Francisco Luna:
Elementary landscapes of frequency assignment problems. 1409-1416 - Swagato Sanyal, Raja S, Somenath Biswas:
Necessary and sufficient conditions for success of the metropolis algorithm for optimization. 1417-1424 - Francisco Chicano, Gabriel Luque, Enrique Alba:
Elementary landscape decomposition of the quadratic assignment problem. 1425-1432 - Daniel Johannsen, Piyush P. Kurur, Johannes Lengler:
Can quantum search accelerate evolutionary algorithms? 1433-1440 - Per Kristian Lehre, Carsten Witt:
Black-box search by unbiased variation. 1441-1448 - Benjamin Doerr, Daniel Johannsen, Carola Winzen:
Multiplicative drift analysis. 1449-1456 - Benjamin Doerr, Mahmoud Fouz, Carsten Witt:
Quasirandom evolutionary algorithms. 1457-1464 - Christian Horoba, Dirk Sudholt:
Ant colony optimization for stochastic shortest path problems. 1465-1472
Theory posters
- Luca Manzoni, Leonardo Vanneschi, Giancarlo Mauri:
Definition of a crossover based distance for genetic algorithms. 1473-1474 - Andrea Valsecchi, Leonardo Vanneschi, Giancarlo Mauri:
Optimization speed and fair sets of functions. 1475-1476
GECCO 2009 omission (errata)
- Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira:
Time series forecasting using a perturbative intelligent system. 1477-1478
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