摘要
针对几何约束求解问题 ,提出一种改进的遗传算法 ,他是在一般遗传算法的基础上 ,增加了迭代的外循环过程和新的用于初始种群的选择方法 ,求解速度快且能达到Newton -Raphson法的精度 。
Aimed at the solution of the geometric constraint, the paper put forward a advanced genetic algorithm that gave a new method for selecting the initial gene and added the loop out of the iterating process. By this efficient method, it could be up to the solution precision of the Newton-Raphson ones, and also solve over-constrained, under-constrained, and other constraint problems in CAD system.
出处
《机械设计与制造工程》
2002年第5期25-26,29,共3页
Machine Design and Manufacturing Engineering
基金
南京师范大学青年自然科学基金资助 (2 0 0 1XQ0 9)
