| Immune and Genetic Algorithm Based Assembly Sequence Planning |
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| 作者姓名： | 杨建国 李蓓智 俞雷 金宇松 |
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| 作者单位： | College of Mechanical Engineering，Dong Hua University，Shanghai 200051professor，College of Mechanical Engineering，Dong Hua University，Shanghai 200051，College of Mechanical Engineering，Dong Hua University，Shanghai 200051，College of Mechanical Engineering，Dong Hua University，Shanghai 200051 |
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| 基金项目： | This Research was Supported by Shanghai Natural Science and Technology project(01Zf14004) |
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| 摘 要： | IntroductionIn the course of the industryautomation, the assemblyautomation is the weakest work, and assembly sequenceplanning is one of the basic issues to accomplish this task.To realize assembly automation, there are three problemsto be solved in common: (1) establishing assembly model;(2) obtaining the restriction between the parts andcomponents within this model; (3) assembly sequencereasoning based on (1) and (2).There are a large number of research reports a…
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Immune and Genetic Algorithm Based Assembly Sequence Planning |
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| YANG Jian-guo,LI Bei-zhi,YU Lei,JIN Yu-song.Immune and Genetic Algorithm Based Assembly Sequence Planning[J].Journal of Donghua University,2004,21(6). |
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| Authors: | YANG Jian-guo LI Bei-zhi YU Lei JIN Yu-song |
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| Institution: | College of Mechanical Engineering,Dong Hua University,Shanghai 200051 |
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| Abstract: | In this paper an assembly sequence planning model inspired by natural immune and genetic algorithm (ASPIG) based on the part degrees of freedom matrix (PDFM) is proposed, and a proto system - DSFAS based on the ASPIG is introduced to solve assembly sequence problem. The concept and generation of PDFM and DSFAS are also discussed. DSFAS can prevent premature convergence, and promote population diversity, and can accelerate the learning and convergence speed in behavior evolution problem. |
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| Keywords: | assembly assembly sequence automatic planning immune algorithm genetic algorithm |
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