書誌事項
- タイトル別名
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- Consideration of Optimum Crossover in Automated Design of Bending Process by GA
- マゲ コウテイ ノ ジドウ セッケイ ニ タイスル イデンテキ アルゴリズム テキヨウ ニ オケル コウサホウ ニ カンスル ケンキュウ
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An automated design of bending process had been carried out by using a genetic algorithm, where a gene in an edge to be bent and a chromosome in an order of gene. It was considered as a kind of TSP and solved inversely in order to detect a interference easily. GA have been used successfully to solve continuous functional optimization problems, in which crossover operation typically involves only exchanging randomly selected gene of chromosome between two parents to create two children genotypes. However, these genetic operators are not suitable for routing type problems, because an optimal ordering of a list of objects must be found in order to solve the problem. Furthermore, often the selection of operations requires a deep insight into the nature of the specific problem and operations are not portable to real-problems in themselves. In this reports, seven kinds of crossovers were discussed and tested in automated designs of bending process.
収録刊行物
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- 日本機械学会論文集C編
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日本機械学会論文集C編 69 (682), 1713-1718, 2003
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390001206357348736
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- NII論文ID
- 130004234822
- 110002379051
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- NII書誌ID
- AN00187463
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- ISSN
- 18848354
- 03875024
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- HANDLE
- 2237/9023
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- NDL書誌ID
- 6631853
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- IRDB
- NDL
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- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可