Hybrid Brain Storm Optimization algorithm and Late Acceptance Hill Climbing to solve the Flexible Job-Shop Scheduling Problem

Hybrid Brain Storm Optimization algorithm and Late Acceptance Hill Climbing to solve the Flexible Job-Shop Scheduling Problem

The Brain Storming Optimization (BSO) algorithm is a novel swarm intelligent algorithm that simulates the brainstorming process of humans. This paper presents the BSO algorithm as a solution to the Flexible Job-Shop Scheduling Problem (FJSSP). In aim to improve the global search of the BSO algorithm...

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Bibliographic Details
Main Authors:	Malek Alzaqebah, Sana Jawarneh, Maram Alwohaibi, Mutasem K. Alsmadi, Ibrahim Almarashdeh, Rami Mustafa A. Mohammad
Format:	Article
Language:	English
Published:	Elsevier 2022-06-01
Series:	Journal of King Saud University: Computer and Information Sciences
Subjects:	Brain Storming Optimization Algorithm Flexible Job Shop Neighborhood Search Strategy Late Acceptance Hill Climbing
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157820304596

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