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A Modified Biogeography-Based Optimization for the Flexible Job Shop Scheduling Problem
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The flexible job shop scheduling problem (FJSSP) is a practical extension of classical job shop scheduling problem that is known to be NP-hard.
In this paper, an effective modified biogeography-based optimization (MBBO) algorithm with machine-based shifting is proposed to solve FJSSP with makespan minimization.
The MBBO attaches great importance to the balance between exploration and exploitation.
At the initialization stage, different strategies which correspond to two-vector representation are proposed to generate the initial habitats.
At global phase, different migration and mutation operators are properly designed.
At local phase, a machine-based shifting decoding strategy and a local search based on insertion to the habitat with best makespan are introduced to enhance the exploitation ability.
A series of experiments on two well-known benchmark instances are performed.
The comparisons between MBBO and other famous algorithms as well as BBO variants prove the effectiveness and efficiency of MBBO in solving FJSSP.
American Psychological Association (APA)
Yang, Yuzhen. 2015. A Modified Biogeography-Based Optimization for the Flexible Job Shop Scheduling Problem. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073158
Modern Language Association (MLA)
Yang, Yuzhen. A Modified Biogeography-Based Optimization for the Flexible Job Shop Scheduling Problem. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073158
American Medical Association (AMA)
Yang, Yuzhen. A Modified Biogeography-Based Optimization for the Flexible Job Shop Scheduling Problem. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073158
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073158