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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 8 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
13 years 11 months ago
Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies
The dynamic optimization problem concerns finding an optimum in a changing environment. In the tracking problem, the optimizer should be able to follow the optimum’s changes ov...
Claudio Rossi, Antonio Barrientos, Jaime del Cerro
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
13 years 11 months 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
ECAL
1995
Springer
13 years 8 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph