2024-03-29T12:36:59Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00007342
2023-01-16T03:52:52Z
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曲げ工程の自動設計に対する遺伝的アルゴリズム適用における交叉法に関する研究
Consideration of Optimum Crossover in Automated Design of Bending Process by GA
森, 敏彦
MORI, Toshihiko
広田, 健治
HIROTA, Kenji
宮脇, 舞
MIYAWAKI, Mai
平光, 真二
HIRAMITSU, Shinji
open access
日本機械学会
本文データは学協会の許諾に基づきCiNiiから複製したものである。
Production System
Design
Process Planning
Computer Aided Design
Genetic Algorithm
Bending Process
Inverse Manufacturing
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.
日本機械学会
2003-06
jpn
journal article
VoR
http://hdl.handle.net/2237/9023
https://nagoya.repo.nii.ac.jp/records/7342
http://ci.nii.ac.jp/naid/110002379051/
0387-5024
日本機械学會論文集 C編
69
682
1713
1718
https://nagoya.repo.nii.ac.jp/record/7342/files/JsMecEngC_69-682-1713.pdf
application/pdf
705.1 kB
2018-02-19