39 search results - page 1 / 8 » Dynamic adaptation and multiobjective concepts in a particle... |
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
GECCO
2004
Springer
2004
Springer
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
13 years 10 months ago
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
AHS
2006
IEEE
13 years 8 months ago
2006
IEEE
The following article describes and discusses the suitability of the particle swarm optimization (PSO) for the employment with blind adaptation of the directional characteristic o...
GECCO
2006
Springer
13 years 8 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...