A Local Search-Based Generalized Normal Distribution Algorithm for Permutation Flow Shop Scheduling

This paper studies the generalized normal distribution algorithm (GNDO) performance for tackling the permutation flow shop scheduling problem (PFSSP). Because PFSSP is a discrete problem and GNDO generates continuous values, the largest ranked value rule is used to convert those continuous values in...

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Veröffentlicht in:	Applied sciences Jg. 11; H. 11; S. 4837
Hauptverfasser:	Abdel-Basset, Mohamed, Mohamed, Reda, Abouhawwash, Mohamed, Chang, Victor, Askar, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2021
Schlagworte:	generalized normal distribution optimization algorithm Genetic algorithms Heuristic Linear programming local search strategy makespan Mutation Normal distribution Optimization algorithms permutation flow shop scheduling
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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