摘要
论文针对智能化概念设计中的多方案设计问题,提出了基于模糊理论和遗传算法融合的方案优选方法。遗传算法能在搜索过程中自动获取和积累有关搜索空间的知识,并自适应地控制搜索过程,从而得到最优解。模糊理论将不易定量的属性指标量化,因此能够充分利用专家知识。结合模糊理论的优点,可以使遗传算法适用于各种类型的多方案评价及优选问题,扩大了遗传算法的应用范围。文中以挖掘机的方案优选为例进行研究,仿真结果表明,该方法取得了很好的效果。
Aim at issue on multi-conceptual design of intelligent conceptual design, an approach to select optimal conceptual based on fuzzy theory and genetic algorithm is presented. Genetic algorithm can automatic gain and accumulate the knowledge about search-space, it can also control the searching process to fred the best solution. Quantified fuzzy indicator with fuzzy theory, so that it can make full use of the expert knowledge. Union the advantage of fuzzy theory, genetic algorithm can be used in many kinds of optimal multi-conceptual selection problem, extend the application of genetic algorithm. In this paper, the excavator optimal multi-conceptual selection problem is researched as an example. The simulation results shows the effectiveness of the method.
出处
《组合机床与自动化加工技术》
2006年第5期35-38,58,共5页
Modular Machine Tool & Automatic Manufacturing Technique
关键词
概念设计
模糊理论
遗传算法
conceptual design
fuzzy theory
genetic algorithm
