Hybridization of Particle Swarm Optimization with Variable Neighborhood Search and Simulated Annealing for Improved Handling of the Permutation Flow-Shop Scheduling Problem

Hybridization of Particle Swarm Optimization with Variable Neighborhood Search and Simulated Annealing for Improved Handling of the Permutation Flow-Shop Scheduling Problem

Permutation flow-shop scheduling is the strategy that ensures the processing of jobs on each subsequent machine in the exact same order while optimizing an objective, which generally is the minimization of makespan. Because of its NP-Complete nature, a substantial portion of the literature has mainl...

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Bibliographic Details
Main Authors:	Iqbal Hayat, Adnan Tariq, Waseem Shahzad, Manzar Masud, Shahzad Ahmed, Muhammad Umair Ali, Amad Zafar
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Systems
Subjects:	permutation flow-shop scheduling problems (PFSP) particle swarm optimization (PSO) makespan hybrid particle swarm optimization (HPSO) metaheuristic
Online Access:	https://www.mdpi.com/2079-8954/11/5/221

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