摘要
本文在智能设计中提出了求解多方案设计问题的遗传算法，讨论了遗传算法中求解多方案问题的关键技术，包括一种改进的遗传算法，避免了标准遗传算法过早收敛于局部最优解和加快了全局最优的收敛速度，给出了在机床模块综合中多方案求解实例，遗传算法可以有效地解决模块选择与组合问题中的“组合爆炸”问题。
This paper put forward a genetic algorithm for
solving the problems of multiple scheme design in the design of intelligence. It discussed the
key technique, including a kind of an improved genetic algorithm, for solving the problems of
multi-scheme in genetic algorcthm and thus avoided a too early convergence at a partial
optimum solution happened in the standard genetic algorithm and also accelerated the
convergent speed in an overall optimization. An example of making solutions for multiple
schemes in the modular synthesis of machine tools is presented. The genetic algorithm can
settle problems effectively on the selection of modules and the 'combined explosion' in issues
of combination.
出处
《机械设计》
CSCD
北大核心
1999年第4期10-12,17,共4页
Journal of Machine Design
关键词
智能设计
遗传算法
多方案设计
机床
模块综合
Intelligent design, Genetic algorithm, Multiple schemede design,
Modular synthesis of machine tool.
