430 search results - page 13 / 86 » Constructing Dynamic Optimization Test Problems Using the Mu... |
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Bloat control is an important aspect of evolutionary computation methods, such as genetic programming, which must deal with genomes of arbitrary size. We introduce three ...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
113
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CCE
2008
14 years 9 months ago
2008
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
100
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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 2 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
2006
Springer
15 years 1 months ago
2006
Springer
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...