Sciweavers

1560 search results - page 1 / 312
» Robust Evolution Strategies
Sort
View
SEAL
1998
Springer
13 years 8 months ago
Robust Evolution Strategies
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda
EPS
1995
Springer
13 years 8 months ago
Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems
An extension of the evolution strategy for mixed-integer optimizationproblems is introduced. The resulting generalized evolution strategy is applied to the problem of optical mult...
Thomas Bäck, Martin Schütz
GECCO
2009
Springer
137views Optimization» more  GECCO 2009»
13 years 8 months ago
Efficient natural evolution strategies
Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike...
Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Sch...
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
13 years 10 months ago
Niching in evolution strategies
Evolutionary Algorithms (EAs), popular search methods for solving search and optimization problems, are known for successful and fast location of single optimal solutions. However,...
Ofer M. Shir, Thomas Bäck
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 10 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels