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|Title:||Combining 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.
|Journal:||Lecture Notes in Computer Science|
|Citation:||M.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.|
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