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» Surrogate Constraint Functions for CMA Evolution Strategies
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EVOW
2010
Springer
14 years 28 days ago
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding
PPSN
2004
Springer
13 years 11 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 18 days ago
Sex and death: towards biologically inspired heuristics for constraint handling
Constrained continuous optimization is still an interesting field of research. Many heuristics have been proposed in the last decade. Most of them are based on penalty functions....
Oliver Kramer, Stephan Brügger, Dejan Lazovic
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 18 days ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
AUSAI
2009
Springer
13 years 9 months ago
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps ...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...