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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 6 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...
GECCO
2009
Springer
173views Optimization» more  GECCO 2009»
14 years 6 months ago
Creating regular expressions as mRNA motifs with GP to predict human exon splitting
Low correlation between mRNA concentrations measured at different locations for the same exon show many current Ensembl exon definitions are incomplete. Automatically created pa...
William B. Langdon, Joanna Rowsell, Andrew P. Harr...
GECCO
2009
Springer
14 years 6 months ago
Optimal robust expensive optimization is tractable
Following a number of recent papers investigating the possibility of optimal comparison-based optimization algorithms for a given distribution of probability on fitness functions...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
GECCO
2009
Springer
305views Optimization» more  GECCO 2009»
14 years 6 months ago
Evolving competitive car controllers for racing games with neuroevolution
Modern computer games are at the same time an attractive application domain and an interesting testbed for the evolutionary computation techniques. In this paper we apply NeuroEvo...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
GECCO
2009
Springer
14 years 6 months ago
Evolution of team composition in multi-agent systems
Evolution of multi-agent teams has been shown to be an effective method of solving complex problems involving the exploration of an unknown problem space. These autonomous and het...
Joshua Rubini, Robert B. Heckendorn, Terence Soule
GECCO
2009
Springer
14 years 6 months ago
Optimizing low-discrepancy sequences with an evolutionary algorithm
François-Michel De Rainville, Christian Gag...
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
14 years 6 months ago
Geometric differential evolution
Geometric Particle Swarm Optimization (GPSO) is a recently introduced formal generalization of traditional Particle Swarm Optimization (PSO) that applies naturally to both continu...
Alberto Moraglio, Julian Togelius
GECCO
2009
Springer
108views Optimization» more  GECCO 2009»
14 years 6 months ago
Genotypic differences and migration policies in an island model
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
14 years 6 months ago
Bringing evolutionary computation to industrial applications with guide
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Luís Da Costa, Marc Schoenauer
GECCO
2009
Springer
14 years 6 months ago
Simulating human grandmasters: evolution and coevolution of evaluation functions
Omid David-Tabibi, H. Jaap van den Herik, Moshe Ko...