19 search results - page 1 / 4 » Real-parameter optimization using the mutation step co-evolu... |
CEC
2005
IEEE
14 years 2 months ago
2005
IEEE
Abstract- An evolutionary algorithm for the optimization of a function with real parameters is described in this paper. It uses a cooperative co-evolution to breed and reproduce su...
ESA
2008
Springer
13 years 10 months ago
2008
Springer
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Using a directed mutation can improve the efficiency of processing many optimization problems. The first mutation operators of this kind proposed by Hildebrand [1], however, suffer...
APIN
2000
13 years 8 months ago
2000
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
GECCO
2010
Springer
14 years 16 days ago
2010
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...