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Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: On the automatic discovery of variants of the NEH procedure for flow shop scheduling using genetic programming
Author(s): Vazquez-Rodriguez, Jose Antonio
Ochoa, Gabriela
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Keywords: heuristics
genetic programming
genetic algorithms
Issue Date: Feb-2011
Date Deposited: 5-Mar-2014
Citation: Vazquez-Rodriguez JA & Ochoa G (2011) On the automatic discovery of variants of the NEH procedure for flow shop scheduling using genetic programming. Journal of the Operational Research Society, 62 (2), pp. 381-396.
Abstract: We use genetic programming to find variants of the well-known Nawaz, En-score and Ham (NEH) heuristic for the permutation flow shop problem. Each variant uses a different ranking function to prioritize operations during schedule construction. We have tested our ideas on problems where jobs have release times, due dates, and weights and have considered five objective functions: makespan, sum of tardiness, sum of weighted tardiness, sum of completion times and sum of weighted completion times. The implemented genetic programming system has been carefully tuned and used to generate one variant of NEH for each objective function. The new NEHs, obtained with genetic programming, have been compared with the original NEH and randomized NEH versions on a large set of benchmark problems. Our results indicate that the NEH variants discovered by genetic programming are superior to the original NEH and its stochastic version on most of the problems investigated.
DOI Link: 10.1057/jors.2010.132
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