Semi-elitist Evolutionary Multi-agent System for Multiobjective Optimization
The paper presents some modification of the idea of an evolutionary multi-agent system for multiobjective optimization, dealing simultaneously with the stagnation of evolutionary process and the loss of agents representing high-quality solutions. The main mechanisms proposed follow the idea of elitist operators known from classical evolutionary algorithms, yet in this case the elite does not take part in the evolutionary process. Some preliminary results based on a typical multi-objective problem presenting the most important features of the proposed approach are also discussed.
KeywordsPareto Frontier Consecutive Step Nondominated Solution Multiobjective Evolutionary Algorithm Domination Relation
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