A New Approach for Solving Geometric Constraint Based on Election-Survey Algorithm
Aimed at the widespread practical significance of solving geometric constraint problems in engineering, classic numerical methods are highly sensitive to the initial guess, but it is difficult to find a suitable good initial guess in practical operation. So the problem of solving geometric constraint is transformed to the problem of function optimization, and then, Election-Survey Optimization Algorithm is introduced to achieve the optimal result for the problem. The experimental results of solving two instructive examples show that Election-Survey Optimization Algorithm has higher convergence speed and more precise solution, and it is a feasible and effective approach in solving geometric constraint problems.
geometric constraint solving nonliner equations golbal optimization election-survey algorithm
He Chun-hua Zhang Xiang-wei Lv Wen-ge
Faculty of materials and energy Guangdong University of Technology Guangzhou, China Faculty of Electro-mechanics Engineering Guangdong University of Technology Guangzhou, China
国际会议
长春
英文
427-430
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）