东华大学学报（英文版）2004，Vol.21Issue(6)：38-42,5.
Immune and Genetic Algorithm Based Assembly Sequence Planning
Immune and Genetic Algorithm Based Assembly Sequence Planning
摘要
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.关键词
assembly/assembly sequence/automatic planning/immune algorithm/genetic algorithmKey words
assembly/assembly sequence/automatic planning/immune algorithm/genetic algorithm引用本文复制引用
YANG Jian-guo,LI Bei-zhi,YU Lei,JIN Yu-song..Immune and Genetic Algorithm Based Assembly Sequence Planning[J].东华大学学报（英文版）,2004,21(6):38-42,5.基金项目
This Research was Supported by Shanghai Natural Science and Technology project(01Zf14004) （01Zf14004）
