28 search results - page 2 / 6 » A mutation operator for evolution strategies to handle const... |
CEC
2009
IEEE
14 years 1 months ago
2009
IEEE
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
CEC
2009
IEEE
14 years 1 months ago
2009
IEEE
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
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...
EVOW
1994
Springer
13 years 11 months ago
1994
Springer
One of the main problems in applying evolutionary optimisation methods is the choice of operators and parameter values. This paper propose a competitive evolution method, in which ...
CEC
2009
IEEE
14 years 1 months ago
2009
IEEE
－ In this paper, we propose a Multiobjective Self-adaptive Differential Evolution algorithm with objective-wise learning strategies (OW-MOSaDE) to solve numerical optimization pr...