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GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
16 years 1 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
202
Voted
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
16 years 1 months ago
Particle swarm guided evolution strategy
Evolution strategy (ES) and particle swarm optimization (PSO) are two of the most popular research topics for tackling real-parameter optimization problems in evolutionary computa...
Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
16 years 1 months ago
Convergence phases, variance trajectories, and runtime analysis of continuous EDAs
Considering the available body of literature on continuous EDAs, one must state that many important questions are still unanswered, e.g.: How do continuous EDAs really work, and h...
Jörn Grahl, Peter A. N. Bosman, Stefan Minner
GECCO
2007
Springer
136views Optimization» more  GECCO 2007»
16 years 1 months ago
Do additional objectives make a problem harder?
In this paper, we examine how adding objectives to a given optimization problem affects the computation effort required to generate the set of Pareto-optimal solutions. Experime...
Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
16 years 1 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...