1990
DOI: 10.1016/0377-2217(90)90090-x
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Some efficient heuristic methods for the flow shop sequencing problem

Abstract: We compare in this paper the best heuristic methods known up to now to solve the flow shop sequencing problem and we improve the complexity of the best one. Next, we apply to this problem taboo search, a new technique to solve combinatorial optimization problems, and we report computational experiments. Finally a parallel taboo search algorithm is presented and experimental results show that this heuristics allows very good speed-up.

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Cited by 761 publications
(353 citation statements)
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“…In order to speed up the insertion procedure, the well known accelerations of Taillard (1990) are used. This procedure is applied to all job permutations to have 25 NEH2 improved solutions.…”
Section: Solution Representation and Diversification Generation Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to speed up the insertion procedure, the well known accelerations of Taillard (1990) are used. This procedure is applied to all job permutations to have 25 NEH2 improved solutions.…”
Section: Solution Representation and Diversification Generation Methodsmentioning
confidence: 99%
“…Therefore, at the end of this first local search, each factory contains local optima solutions with respect to the insertion neighborhood. Note that the accelerations of Taillard (1990) are also applied here.…”
Section: Improvement Methodsmentioning
confidence: 99%
“…In addition to the NEH heuristic, which is the best among the available simple heuristics, CDS also performs reasonably better. The complexity level and the quality of the simple heuristics have been studied in detail by Taillard [9], and are briefly given below: NEH appears to be the best polynomial heuristic in practice. The CDS algorithm which is in the second place also performs better.…”
Section: Heuristic Algorithms Analyzedmentioning
confidence: 99%
“…The NEH algorithm proposed by Nawaz et al [7] is considered as the best among the simple heuristics, according to many studies conducted over the past decades, like by Turner and Booth [8], Taillard [9] and Ruiz and Maroto [10]. The number of enumerations in NEH algorithm is [n(n+1)/2]-1 and applies insertion technique.…”
mentioning
confidence: 99%
“…, n −1} values, such that P(i) denotes the job to be executed at the i th position. As proved in [15], the insertion operator, which inserts a selected job to a designated position, is more effective than other operators in solving FSP. Moreover, the authors in [4] show the insertion operator is also very efficient in solving multi-objective FSPs.…”
Section: Path Generationmentioning
confidence: 99%