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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Bibliographic Details

Main Authors:	Mohamed Abdel-Basset, Reda Mohamed, Mohamed Abouhawwash, Victor Chang, S. S. Askar
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2021-05-01
Series:	Applied Sciences
Subjects:	generalized normal distribution optimization algorithm permutation flow shop scheduling makespan local search strategy
Online Access:	https://www.mdpi.com/2076-3417/11/11/4837
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