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CEC
2009
IEEE
14 years 1 months ago
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
— The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equal...
Jean-Baptiste Mouret, Stéphane Doncieux
CEC
2005
IEEE
14 years 2 months ago
Ecology-inspired evolutionary algorithm using feasibility-based grouping for constrained optimization
When evolutionary algorithms are used for solving numerical constrained optimization problems, how to deal with the relationship between feasible and infeasible individuals can dir...
Ming Yuchi, Jong-Hwan Kim
ISCI
2008
159views more  ISCI 2008»
13 years 8 months ago
Large scale evolutionary optimization using cooperative coevolution
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
Zhenyu Yang, Ke Tang, Xin Yao
CEC
2007
IEEE
14 years 2 months ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
GECCO
2003
Springer
101views Optimization» more  GECCO 2003»
14 years 1 months ago
Population Implosion in Genetic Programming
With the exception of a small body of adaptive-parameter literature, evolutionary computation has traditionally favored keeping the population size constant through the course of t...
Sean Luke, Gabriel Catalin Balan, Liviu Panait