NDLI: Study of the immune simulated annealing algorithm and dual-resource job shop order scheduling

Content Provider	IEEE Xplore Digital Library
Author	Wang Zhongjie Zhao Mingming Hu Miao
Copyright Year	2013
Description	Author affiliation: Tongji Univ., Shanghai, China (Wang Zhongjie; Zhao Mingming; Hu Miao)
Abstract	To solve the flexible Job Shop scheduling order problem of dual-resource constraints , on the basis of considering the production capacity constraints of the workshop and operators, the mathematical description of the problem is given. An improved hybrid immune simulated annealing algorithm is proposed and applied to the scheduling order problem of dual-resource constraints. The global-searching ability is improved. Encoding method and activation decoding algorithm based on the process are used to ensure that any arrangement of chromosomes can produce a feasible solution, reduce the search region, and improve search efficiency. By changing the amount of resources to compare the simulation, the effect of the constraints of the total resources on scheduling order is better concluded. The experimental results show that it is feasible and effectual to solve the scheduling order problem of dual-resource constraints by the improved hybrid immune simulated annealing algorithm.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	2375
Ending Page	2379
File Size	516412
Page Count	5
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	order scheduling Job shop scheduling immune simulated annealing algorithm Conferences Simulated annealing Optimal scheduling dual-resource constraints job shop Personnel Immune system
Content Type	Text
Resource Type	Article

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