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

Muhamad, Ahmad Shahrizal and Deris, Safa'ai (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


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 > QA76 Computer software
Divisions:Computer Science and Information System (Formerly known)
ID Code:28652
Deposited By: Yanti Mohd Shah
Deposited On:12 Nov 2012 15:17
Last Modified:28 Jan 2019 11:35

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