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

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: Article
Language:English
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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https://www.mdpi.com/2076-3417/11/11/4837

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