Study of the Application of Election- Survey Algorithm for Nonlinear ConstrainedOptimization Problems

摘要：

For the nonlinear constrained optimization problems, election-survey algorithm is combined with dynamic penalty function method to get the optimum in order to demonstrate solving capability of the algorithm. The tests of classic function and engineering optimization application model show that the election-survey algorithm can constringe rapidly to global optimal solution and achieve better optimization solution of objective function. It is feasible and effective in solving nonlinear constrained optimal problems, and available for engineering optimization.

关键词： nonlinear constrained optimization election-survey algorithm penalty function method golbal optimization

作者: He Chun-hua Zhang Xiang-wei Lv Wen-ge Xie Qing-hua

作者单位: Faculty of materials and energyGuangdong University of TechnologyGuangzhou, China Faculty of Electro-mechanics Engineering Guangdong University of Technology Guangzhou, China

会议类型: 国际会议

会议名称: Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

会议地点: 无锡

会议语种:英文

页码: 96-99

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）