Ant Colony Algorithm for a Class of Non-differentiable Optimization Problems

摘要：

There are many methods for solving non-differentiable optimization problems, but most of them are too difficult to realize. In this paper, penalty function method is adopted to transform non-differentiable optimization problems to unconstrained differentiable optimization problems. Then, computational experiments are conducted based on the uncertainty analysis of ant colony algorithm (ACA). Numerical results show that ACA can make such a problem simple and easy to calculate.

关键词： ant colony algorithm (ACA) non-differentiable optimization penalty function

作者: Jiajia He Zai-en Hou

作者单位: College of Electrical and Information Engineering Shaanxi University of Science and Technology Xian College of science Shaanxi University of Science and Technolog Xian 710021, P. R. China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronic & Mechanical Engineering and Information Technology(EMEIT 2011)(2011年机电工程与信息技术国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 2644-2647

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）