2005 | OriginalPaper | Chapter
Multi-objective MaxiMin Sorting Scheme
Authors : E. J. Solteiro Pires, P. B. de Moura Oliveira, J. A. Tenreiro Machado
Published in: Evolutionary Multi-Criterion Optimization
Publisher: Springer Berlin Heidelberg
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Obtaining a well distributed non-dominated Pareto front is one of the key issues in multi-objective optimization algorithms. This paper proposes a new variant for the elitist selection operator to the NSGA-II algorithm, which promotes well distributed non-dominated fronts. The basic idea is to replace the crowding distance method by a maximin technique. The proposed technique is deployed in well known test functions and compared with the crowding distance method used in the NSGA-II algorithm. This comparison is performed in terms of achieved front solutions distribution by using distance performance indices.