Presentation 2002/5/16
Efficient Search on Solution Space Based on Sequence-Pair for Simulated Annealing Approach
Satoshi TAYU, Takayuki OBATA, Mineo KANEKO,
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Abstract(in English) The module placement is one of the most important problem in the VLSI design. In order to obtain an area minimizing placement, a numerical number of heuristic approaches are invented. As the number of modules in recent VLSI systems becomes larger, however, it becomes harder to compute area minimizing placement by heuristics effectively. Therefore, in the recent VLSI physical design, stochastic methods come to be employed. One of the most effective stochastic methods is the simulated annealing approach. In this paper, we propose a new neighborhood structure on the solution space and neighborhood selection scheme for simulated annealing approach of the placement problem with sequence-pair coding scheme. We show that our proposed method is effective by applying it to a randomly generated module set and MCNC benchmark ami49.
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Keyword(in English) Sequence-Pair / Simulated Annealing / Solution Space
Paper # VLD2002-5
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Committee VLD
Conference Date 2002/5/16(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Efficient Search on Solution Space Based on Sequence-Pair for Simulated Annealing Approach
Sub Title (in English)
Keyword(1) Sequence-Pair
Keyword(2) Simulated Annealing
Keyword(3) Solution Space
1st Author's Name Satoshi TAYU
1st Author's Affiliation School of Information Science, Japan Advanced Information Science and Technology()
2nd Author's Name Takayuki OBATA
2nd Author's Affiliation School of Information Science, Japan Advanced Information Science and Technology
3rd Author's Name Mineo KANEKO
3rd Author's Affiliation School of Information Science, Japan Advanced Information Science and Technology
Date 2002/5/16
Paper # VLD2002-5
Volume (vol) vol.102
Number (no) 72
Page pp.pp.-
#Pages 6
Date of Issue