Improved Differential Evolution Algorithms for Solving Mixed-integer Nonlinear Programming

摘要：

A new method called hybrid line-up differential evolution algorithm is provided for the difficult problem of mixed-integer nonlinear programming (MINLP) with multi-modal and non-linear object functions in the paper. At the same time, two novelty strategies are adopted in order to solve the MINLP conveniently. One is to introduce the adaptive penalty parameter strategy; the other is to introduce a mixed coding ways and a rounding operation so that the hybrid line-up differential evolution algorithm can solve the mixed-integer nonlinear optimization problems. The superiority of the algorithm is tested through cases and the simulated result shows high efficiency, rapid speed of convergence and strong capability of global search in searching solution.

关键词： Differential evolution penalty function mixed coding strategy mixed-integer nonlinear programming testing.

作者: Mingguang Liu

作者单位: School of Public administration South China Normal University Guangzhou , Guangdong

会议类型: 国际会议

会议名称: 2007 Conference on Systems Science, Management Science and System Dynamics(第二届系统科学、管理科学与系统动力学国际会议)

会议地点: 上海

会议语种:英文

页码: 1399-1404

在线出版日期: 2007-10-19（万方平台首次上网日期，不代表论文的发表时间）