### 抄録

Use of genetic algorithms as an effective tool for searching sets of Pareto-optimal solutions in the context of multi-objective optimization problems has attracted considerable attention in various engineering fields. This paper presents a topology optimization method of framed structures using a genetic algorithm and the generalized transfer stiffness coefficient method (GTSCM). The GTSCM is well suited for the computation of constraint and the objective function values since stress and vibration analysis can easily be conducted by simply providing the structural data corresponding to the genotype of the individual. Two-objective optimization problems that minimize the total weight and maximize the first natural frequency under the displacement and the stress constraint are formulated, and a genetic algorithm based on the ground structure approach is developed. The present algorithm fully utilizes the benefits of the GTSCM in order to efficiently improve computation. Effective methods of genetic operations for the optimization of topology problems are also proposed.

元の言語 | 英語 |
---|---|

ページ（範囲） | 1137-1144 |

ページ数 | 8 |

ジャーナル | Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C |

巻 | 74 |

発行部数 | 5 |

出版物ステータス | 出版済み - 5 2008 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Mechanical Engineering

### これを引用

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

*74*(5), 1137-1144.

**Topology optimization of a framed structure using generalized transfer stiffness coefficient method.** / Bonkobara, Yasuhiro; Kondou, Takahiro; Sakao, Daisuke; Choi, Myung Soo; Kuroki, Hiroyuki; Sakamoto, Yuichiro.

研究成果: ジャーナルへの寄稿 › 記事

*Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C*, 巻. 74, 番号 5, pp. 1137-1144.

}

TY - JOUR

T1 - Topology optimization of a framed structure using generalized transfer stiffness coefficient method

AU - Bonkobara, Yasuhiro

AU - Kondou, Takahiro

AU - Sakao, Daisuke

AU - Choi, Myung Soo

AU - Kuroki, Hiroyuki

AU - Sakamoto, Yuichiro

PY - 2008/5

Y1 - 2008/5

N2 - Use of genetic algorithms as an effective tool for searching sets of Pareto-optimal solutions in the context of multi-objective optimization problems has attracted considerable attention in various engineering fields. This paper presents a topology optimization method of framed structures using a genetic algorithm and the generalized transfer stiffness coefficient method (GTSCM). The GTSCM is well suited for the computation of constraint and the objective function values since stress and vibration analysis can easily be conducted by simply providing the structural data corresponding to the genotype of the individual. Two-objective optimization problems that minimize the total weight and maximize the first natural frequency under the displacement and the stress constraint are formulated, and a genetic algorithm based on the ground structure approach is developed. The present algorithm fully utilizes the benefits of the GTSCM in order to efficiently improve computation. Effective methods of genetic operations for the optimization of topology problems are also proposed.

AB - Use of genetic algorithms as an effective tool for searching sets of Pareto-optimal solutions in the context of multi-objective optimization problems has attracted considerable attention in various engineering fields. This paper presents a topology optimization method of framed structures using a genetic algorithm and the generalized transfer stiffness coefficient method (GTSCM). The GTSCM is well suited for the computation of constraint and the objective function values since stress and vibration analysis can easily be conducted by simply providing the structural data corresponding to the genotype of the individual. Two-objective optimization problems that minimize the total weight and maximize the first natural frequency under the displacement and the stress constraint are formulated, and a genetic algorithm based on the ground structure approach is developed. The present algorithm fully utilizes the benefits of the GTSCM in order to efficiently improve computation. Effective methods of genetic operations for the optimization of topology problems are also proposed.

UR - http://www.scopus.com/inward/record.url?scp=49149093903&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=49149093903&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:49149093903

VL - 74

SP - 1137

EP - 1144

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

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

SN - 0387-5024

IS - 5

ER -