作　　者： ;

机构地区： 华南理工大学机械与汽车工程学院

出　　处： 《机电产品开发与创新》 2005年第5期6-9,共4页

摘　　要： 提出发散与收敛交替的创新设计思维模型,分析基于实例的推理、遗传算法的不足并指出其深层原因是它们只能实现创新思维模型中的单一阶段。然后提出一种有向相似性联想模拟算法以实现部件间的产品需求相似度计算,用基于实例推理、有向相似性计算与遗传算法模拟一个完整的创新思维模型。最后提出相应的产品设计系统,并用之进行实验验证该混合智能算法的优越性。 Put forth a model of creative thinking consisting of alternant emanative and converging thinking, analysis these shortages in Case-Based Reasoning and Genetic Algorithms, and pointed out that the fundamental reason of these shortages is that they only can simulate a single process in the model of creative thinking. Then brought forward a simulation algorithm of directed similarity association, so as to realize the computation of similarity degree of product demand between components, and simulate the whole model of creative thinking with Case-Based Reasoning, computation of directed similarity and Genetic Algorithms. Put forward a corresponding product design system, and conduct an experiment to prove the advance of the combined intelligent algorithm at last.

关 键 词： 智能设计 创新思维 遗传算法 基于实例推理

领　　域： [机械工程]