29 search results - page 3 / 6 » Fitness-based neighbor selection for multimodal function opt... |
CEC
2005
IEEE
13 years 11 months ago
2005
IEEE
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
NIPS
2007
13 years 7 months ago
2007
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed me...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...