Presentation 2012-11-27
A Method to Parallelize Simulated Annealing Algorithm by Generating Look-ahead Neighbor Solutions
Yusuke OTA, Kazuhito ITO,
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Abstract(in English) Simulated annealing (SA) is a general method to solve combinational optimization problems. SA generates a neighbor solution from a current solution randomly and evaluates the solution by a cost function. If a neighbor solution is better than a current solution, or otherwise stochastically, the neighbor solution is accepted as a new current solution. SA needs long execution time because it must iterate generating and evaluating a neighbor solution many times. We propose a fast SA method where some neighbor solutions are generated at a time in a look-ahead manner and evaluated in parallel. A method to adaptively generate neighbor solutions is proposed to reduce void solutions which are not used in a SA chain.
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Keyword(in English) combinational optimization / simulated annealing / parallelize / look-ahead / neighbor solution generation
Paper # VLD2012-73,DC2012-39
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Committee DC
Conference Date 2012/11/19(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Method to Parallelize Simulated Annealing Algorithm by Generating Look-ahead Neighbor Solutions
Sub Title (in English)
Keyword(1) combinational optimization
Keyword(2) simulated annealing
Keyword(3) parallelize
Keyword(4) look-ahead
Keyword(5) neighbor solution generation
1st Author's Name Yusuke OTA
1st Author's Affiliation Graduate School of Science and Engineering Saitama University()
2nd Author's Name Kazuhito ITO
2nd Author's Affiliation Graduate School of Science and Engineering Saitama University
Date 2012-11-27
Paper # VLD2012-73,DC2012-39
Volume (vol) vol.112
Number (no) 321
Page pp.pp.-
#Pages 6
Date of Issue