28 search results - page 4 / 6 » A mutation operator for evolution strategies to handle const... |
HAIS
2009
Springer
14 years 10 days ago
2009
Springer
This paper presents a novel stochastic optimization approach to solve constrained economic load dispatch (ELD) problem using Hybrid Bacterial Foraging-Differential Evolution optimi...
EMO
2006
Springer
13 years 11 months ago
2006
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
AIR
1998
13 years 7 months ago
1998
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...