混沌遗传算法及其在机构创新设计中的应用  

Chaotic Genetic Algorithm and Its Application in Creative Design of Mechanism

作　　者：罗贤海[1] 许红[2] 张仁宏[2] 翁海珊[1] 

机构地区：[1]北京科技大学机械工程学院,北京100083 [2]景德镇陶瓷学院机电学院,景德镇333403

出　　处：《机械设计与研究》2007年第1期27-30,33,共5页Machine Design And Research

摘　　要：将混沌优化的遍历性、规律性与遗传算法(GA)的全局性相结合形成了一种混沌遗传算法(CGA),有效地克服了遗传算法随机性大、未成熟收敛等缺点。建立以构件和运动副为基本单元,以机构的拓扑结构为核心的机构型式数学模型,采用适合描述机构型式的染色体编码方法,用生命进化机制模拟机构的演变,实现了机构构型创新设计的自动化,缩短了创新设计周期。The chaotic genetic algorithm is formed through combining the traversablity and regulation of chaotic optimization with the entireness of genetic algorithm, It effectively overcomes the disadvantage of big randomness and premature convergence in genetic algorithm. It sets up mathematical model of mechanism whose basic units are links and kinematic pairs, and kernal is the topologic structure. It uses the stretured chromosome coding method that suitable to describe mechanism types. The natural evoluation process is used to simulate the mechanism deduction,which realizes the automation of the mechanism configuration creative design and reduces the periods of mechanism design.

关 键 词：遗传算法 混沌优化 机构创新 

分 类 号：TH132[机械工程—机械制造及自动化]