Study on heredity and evolution of designs by using genetic algorithms

Hiroshi Yamakawa

研究成果: Article

5 引用 (Scopus)

抄録

A new concept on 'heredity and evolution of designs' was developed by the author and a general algorithm to simulate the heredity and evolution of designs is presented in this study with reference to engineering analysis. The ordinary design process is considered here to have a distributed hierarchical structure and is modeled. The design in each level is optimized by the genetic algorithm to maximize the fitness function under some constraints. In some of the levels, engineering analysis can be involved. The fitness function and constraints to be used for the genetic algorithm in each level are modified by the resulting designs in the lower or upper level. The proposed method is applied to simple examples of car designs and demonstrated. Further studies will follow to examine and evaluate the proposed method from many points of view.

元の言語English
ページ(範囲)4646-4652
ページ数7
ジャーナルNippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
61
発行部数592
出版物ステータスPublished - 1995 12
外部発表Yes

Fingerprint

Genetic algorithms
Railroad cars

ASJC Scopus subject areas

  • Mechanical Engineering

これを引用

@article{090306ed0487429bb1e89cf563b2a370,
title = "Study on heredity and evolution of designs by using genetic algorithms",
abstract = "A new concept on 'heredity and evolution of designs' was developed by the author and a general algorithm to simulate the heredity and evolution of designs is presented in this study with reference to engineering analysis. The ordinary design process is considered here to have a distributed hierarchical structure and is modeled. The design in each level is optimized by the genetic algorithm to maximize the fitness function under some constraints. In some of the levels, engineering analysis can be involved. The fitness function and constraints to be used for the genetic algorithm in each level are modified by the resulting designs in the lower or upper level. The proposed method is applied to simple examples of car designs and demonstrated. Further studies will follow to examine and evaluate the proposed method from many points of view.",
author = "Hiroshi Yamakawa",
year = "1995",
month = "12",
language = "English",
volume = "61",
pages = "4646--4652",
journal = "Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C",
issn = "0387-5024",
publisher = "Japan Society of Mechanical Engineers",
number = "592",

}

TY - JOUR

T1 - Study on heredity and evolution of designs by using genetic algorithms

AU - Yamakawa, Hiroshi

PY - 1995/12

Y1 - 1995/12

N2 - A new concept on 'heredity and evolution of designs' was developed by the author and a general algorithm to simulate the heredity and evolution of designs is presented in this study with reference to engineering analysis. The ordinary design process is considered here to have a distributed hierarchical structure and is modeled. The design in each level is optimized by the genetic algorithm to maximize the fitness function under some constraints. In some of the levels, engineering analysis can be involved. The fitness function and constraints to be used for the genetic algorithm in each level are modified by the resulting designs in the lower or upper level. The proposed method is applied to simple examples of car designs and demonstrated. Further studies will follow to examine and evaluate the proposed method from many points of view.

AB - A new concept on 'heredity and evolution of designs' was developed by the author and a general algorithm to simulate the heredity and evolution of designs is presented in this study with reference to engineering analysis. The ordinary design process is considered here to have a distributed hierarchical structure and is modeled. The design in each level is optimized by the genetic algorithm to maximize the fitness function under some constraints. In some of the levels, engineering analysis can be involved. The fitness function and constraints to be used for the genetic algorithm in each level are modified by the resulting designs in the lower or upper level. The proposed method is applied to simple examples of car designs and demonstrated. Further studies will follow to examine and evaluate the proposed method from many points of view.

UR - http://www.scopus.com/inward/record.url?scp=0029487931&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029487931&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0029487931

VL - 61

SP - 4646

EP - 4652

JO - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

JF - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

SN - 0387-5024

IS - 592

ER -