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An artificial immune system for solving production scheduling problems: a review

Muhamad, Ahmad Shahrizal and Deris, Safaai (2013) An artificial immune system for solving production scheduling problems: a review. Artificial Intelligence Review, 39 (2). pp. 97-108. ISSN 0269-2821

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Official URL: http://dx.doi.org/10.1007/s10462-011-9259-1

Abstract

This article reviews the production scheduling problems focusing on those related to flexible job-shop scheduling. Job-shop and flexible job-shop scheduling problems are one of the most frequently encountered and hardest to optimize. This article begins with a review of the job-shop and flexible job-shop scheduling problem, and follow by the literature on artificial immune systems (AIS) and suggests ways them in solving job-shop and flexible job-shop scheduling problems. For the purposes of this study, AIS is defined as a computational system based on metaphors borrowed from the biological immune system. This article also, summarizes the direction of current research and suggests areas that might most profitably be given further scholarly attention.

Item Type:Article
Uncontrolled Keywords:artificial immune system, artificial intelligence, evolutionary computation, flexible job-shop scheduling, job-shop scheduling, production scheduling
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:49102
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:02 Dec 2015 10:10
Last Modified:09 Nov 2018 16:11

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