Presentation 2012-03-09
A Hybrid Approach to Cyclic Scheduling Problems based on PBIL and Exact Algorithms
Shinji AGUNI, Guan SENLIN, Morikazu NAKAMURA,
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Abstract(in English) For combinational optimization problems, we have two approaches; the exact methods and the approximated methods. The exact methods may require lots of computation time to get the exact solution even though the algorithms try to reduce the searching space, while metaheuristics can obtain approximated solutions within reasonable computation time. This paper proposes a hybrid method based on the exact method and metaheuristics for mixed integer programming problems. We can control in our hybrid method the tradeoff between the quality of approximated solutions and the computation time by adjusting the ratio of decision variables to be determined by metaheuristics to the ones by the exact method. We apply our hybrid method to cyclic job-hop scheduling problems and computational experiment shows the effectiveness of our proposed method.
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Keyword(in English) Exact methods / Metaheuristics / Hybrid approach / Population Based Incremental Learning (PBIL) / Cyclic Job Shop Scheduling Problem (CJSSP or CJSP) / Simulated Annealing (SA)
Paper # MSS2011-86
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Conference Date 2012/3/1(1days)
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Registration To Mathematical Systems Science and its applications(MSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Hybrid Approach to Cyclic Scheduling Problems based on PBIL and Exact Algorithms
Sub Title (in English)
Keyword(1) Exact methods
Keyword(2) Metaheuristics
Keyword(3) Hybrid approach
Keyword(4) Population Based Incremental Learning (PBIL)
Keyword(5) Cyclic Job Shop Scheduling Problem (CJSSP or CJSP)
Keyword(6) Simulated Annealing (SA)
1st Author's Name Shinji AGUNI
1st Author's Affiliation Faculty of Engineering, Ryukyu University()
2nd Author's Name Guan SENLIN
2nd Author's Affiliation Faculty of Engineering, Ryukyu University
3rd Author's Name Morikazu NAKAMURA
3rd Author's Affiliation Faculty of Engineering, Ryukyu University
Date 2012-03-09
Paper # MSS2011-86
Volume (vol) vol.111
Number (no) 453
Page pp.pp.-
#Pages 6
Date of Issue