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TitleCombining non-dominance, objective-order and spread metric to extend firefly algorithm to multi-objective optimization
Author(s)Costa, M. Fernanda P.
Rocha, Ana Maria A. C.
Fernandes, Edite Manuela da G. P.
Firefly algorithm
Fitness assignment
Spread metric
Issue date2015
JournalLecture Notes in Computer Science
CitationM.F.P. Costa, A.M.A.C. Rocha and E.M.G.P. Fernandes, Combining Non-dominance, Objective-Order and Spread Metric to Extend Firefly Algorithm to Multi-objective Optimization, A. Gaspar-Cunha et al. (Eds): EMO 2015, Part I, LNCS 9018, pp. 292--306, Springer, 2015.
Abstract(s)In this paper, we propose an extension of the firefly algorithm (FA) to multi-objective optimization. FA is a swarm intelligence optimization algorithm inspired by the flashing behavior of fireflies at night that is capable of computing global solutions to continuous optimization problems. Our proposal relies on a fitness assignment scheme that gives lower fitness values to the positions of fireflies that correspond to non-dominated points with smaller aggregation of objective function distances to the minimum values. Furthermore, FA randomness is based on the spread metric to reduce the gaps between consecutive non-dominated solutions. The obtained results from the preliminary computational experiments show that our proposal gives a dense and well distributed approximated Pareto front with a large number of points.
TypeConference paper
AccessOpen access
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review
CAlg - Livros e capítulos de livros/Books and book chapters

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