105 search results - page 2 / 21 » Evolutionary Algorithms for Multi-Objective Optimization: Pe... |
EMO
2009
Springer
13 years 9 months ago
2009
Springer
Particle Swarm Optimization (PSO) has received increased attention in the optimization research community since its first appearance. Regarding multi-objective optimization, a con...
EMO
2006
Springer
13 years 8 months ago
2006
Springer
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
HIS
2008
13 years 6 months ago
2008
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
ESCIENCE
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two p...