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GECCO
2004
Springer
2004
Springer
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
15 years 3 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 ...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary technique...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the prob...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...