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Journal of Asian Architecture and Building Engineering -
Vol. 15 ,
No. 3

[ Building Structures and Materials ] | |

Journal of Asian Architecture and Building Engineering - Vol. 15, No. 3, pp.557-564 | |

ISSN: 1346-7581 (Print) 1347-2852 (Online) | |

Print publication date 30 Sep 2016 | |

Received 08 Apr 2015 Accepted 11 Jul 2016 | |

DOI: https://doi.org/10.3130/jaabe.15.557 | |

An Adaptive Multi-objective Immune Algorithm for Optimal Design of Truss Structures | |

Liyu Xie ^{1} ; Hesheng Tang^{*}^{, 1}^{, 2} ; Changyuan Hu^{1} ; Songtao Xue^{1}^{, 3}
| |

1Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China | |

2State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China | |

3Department of Architecture, Tohoku Institute of Technology, Sendai, Japan | |

Correspondence to : ^{*}Hesheng Tang, Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China E-mail; thstj@tongji.edu.cn | |

Funding Information ▼ |

Abstract

In this paper, an adaptive immune clone selection algorithm for multi-objective optimization (AICSAMO) is proposed. A novel adaptive polynomial mutation operator with dynamic mutation probability is employed in AICSAMO. This adaptive mutation operator executes a rapid global search at the earlier stage of the algorithm and a fine-tuning search at the later stage of the algorithm, which adopts generation-dependent parameters to improve the convergence speed and global optimum searching ability. The effectiveness of AICSAMO is evaluated through the truss sizing and shape optimization problems of a 10-bar plane truss and a 25-bar space truss. According to the comparison of AICSAMO with various multi-objective optimization algorithms developed recently, the simulation results illustrate that AICSAMO has remarkable performance in finding a wider spread of optimal solutions and in maintaining better uniformity of the solutions with better convergence.

Keywords: immune algorithm, multi-objective optimization, adaptive mutation, sizing and shape optimization, truss structure |

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