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[21460] Artykuł: Finding Sets of Non-Dominated Solutions with High Spread and Well-Balanced Distribution using Generalized Strength Pareto Evolutionary AlgorithmCzasopismo: Advances in Intelligent Systems Research Tom: 89, Strony: 178-185ISSN: 1951-6851 ISBN: 978-94-62520-77-6 Wydawca: ATLANTIS PRESS, 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE Opublikowano: 2015 Seria wydawnicza: Advances in Intelligent Systems Research Autorzy / Redaktorzy / Twórcy
Grupa MNiSW: Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science) Punkty MNiSW: 15 Klasyfikacja Web of Science: Proceedings Paper Pełny tekst DOI Web of Science Keywords: Multi-objective optimization  evolutionary computation  well spread and balanced distribution of non-dominated solutions   |
The paper presents a generalization of the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and its application in selected well-known two- and threeobjective optimization benchmark problems. The proposed solution is referred to as our SPEA3. The generalization consists in the exchange of the environmental selection procedure in SPEA2 for a new original algorithm which aims to deter mine the final non-dominated solutions with a high spread and well-balanced distribution in the objective space. During the evolutionary optimization process, the non-dominated solutions are gradually incorporated into the resulting set and placed in it in such a way that the distances between them and their nearest neighbors in the objective space are the greatest possible. A comparative analysis with alternative multi-objective optimization techniques shows that our approach is superior with regard to the spread and distribution of solutions while being still competitive with regard to their accuracy.