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Hybridizing VNS and path-relinking on a particle swarm framework to minimize total flowtime

Wagner Emanoel Costa (wemano***at***gmail.com)
Marco C. Goldbarg (gold***at***dimap.ufrn.br)
Elizabeth G. Goldbarg (beth***at***dimap.ufrn.br)

Abstract: This paper presents a new hybridization of VNS and path-relinking on a particle swarm framework for the permutational fowshop scheduling problem with total flowtime criterion. The operators of the proposed particle swarm are based on path-relinking and variable neighborhood search methods. The performance of the new approach was tested on the bechmark suit of Taillard, and five novel solutions for the benchmark suit are reported. The results were compared against results obtained using methods from literature. Statistical analysis favors the new particle swarm approach over the other methods tested.

Keywords: Flowshop, Scheduling, Total Flowtime, Heuristics, PSO.

Category 1: Applications -- OR and Management Sciences (Scheduling )

Category 2: Combinatorial Optimization (Meta Heuristics )

Citation: Wagner Emanoel Costa, Marco César Goldbarg, Elizabeth G. Goldbarg, Hybridizing VNS and path-relinking on a particle swarm framework to minimize total flowtime, Expert Systems with Applications, Volume 39, Issue 18, 15 December 2012, Pages 13118-13126, ISSN 0957-4174, http://dx.doi.org/10.1016/j.eswa.2012.05.090.

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Entry Submitted: 04/12/2012
Entry Accepted: 04/13/2012
Entry Last Modified: 02/01/2014

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