38 search results - page 3 / 8 » Performance Tuning of Evolutionary Algorithms Using Particle... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...