A Modified Genetic Channel Router (Special Section on VLSI Design and CAD Algorithms)
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概要
- 論文の詳細を見る
Genetic algorithms have been shown to be very useful in a variety of search and optimization problems. In this paper, we propose a modified genetic channel router. We adopt the compatible crossover operator and newly designed compatible mutation operator in order to search solution space more effectively, where vertical constraints are integrated. By carefully selected fitness function forms and optimized genetic parameters, the current version speeds up benchmarks on average about 5.83 times faster than that of our previous version. Moreover the total convergence to optimal solutions for benchmarks can be always obtained.
- 社団法人電子情報通信学会の論文
- 1994-12-25
著者
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Sakamoto Akio
Faculty Of Engineering Tokushima University
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Shimamoto T
Shibuya Kogyo Co. Ltd. Kanazawa‐shi Jpn
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Shimamoto T
Faculty Of Engineering The Univ. Of Tokushima
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LIU Xingzhao
Faculty of Engineering, Tokushima University
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SHIMAMOTO Takashi
Faculty of Engineering, Tokushima University
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Sakamoto A
Kochi Univ. Technol. Kochi‐ken Jpn
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Sakamoto Akio
Department Of Information Systems Engineering Kochi Univ. Of Technology
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Shimamoto Takashi
Faculty Of Engineering The Univ. Of Tokushima
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Liu Xingzhao
Faculty Of Engineering Tokushima University
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