摘要
通过把机械方案设计过程看作是一个状态空间的求解问题,用遗传算法控制其搜索过程,构建完善了新的遗传编码体系,为了适应新的编码体系重新构建了交叉和变异等遗传操作,并利用复制、交换和变异等操作进行一次次迭代,最终自动生成一组最优的设计方案。实例验证,该系统有效、准确和实用。
Via treatingthose machine conceptual designs as design spaces to resolve, using the genetic algorism, controled its search process on the whole, a new hierarchical genotype representations aredeveloped. In order to adapt this kind of representation, the genetic operators include ofcrossover operators and mutation operators, i. e. , are newly constructed, utilized thereproduction, crossover and mutation i. e. to iteration, a set of optimized design scheme arebuilded automatically, this system is effective, exact and applied after demonstrated by a designexample.
出处
《机械设计与制造》
北大核心
2006年第2期31-33,共3页
Machinery Design & Manufacture
基金
国家高技术研究发展计划("863计划")(2003AA411340)
国家自然基金(60473134)课题资助
关键词
遗传算法
方案设计
优化设计
Genetic algorism
Hierarchical structure
Optimized design.