A cooperative swarm intelligence algorithm for multi-objective discrete optimization with application to the knapsack problem

Djaafar Zouache, Abdelouahab Moussaoui and Fouad Ben Abdelaziz

European Journal of Operational Research, 2018, vol. 264, issue 1, 74-88

Abstract: We propose a novel cooperative swarm intelligence algorithm to solve multi-objective discrete optimization problems (MODP). Our algorithm combines a firefly algorithm (FA) and a particle swarm optimization (PSO). Basically, we address three main points: the effect of FA and PSO cooperation on the exploration of the search space, the discretization of the two algorithms using a transfer function, and finally, the use of the epsilon dominance relation to manage the size of the external archive and to guarantee the convergence and the diversity of Pareto optimal solutions.

Keywords: Multi-objective discrete optimization; Firefly algorithm; Particle swarm optimization; Transfer function; Knapsack problem (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:264:y:2018:i:1:p:74-88

DOI: 10.1016/j.ejor.2017.06.058

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