A Hybrid Evolutionary Algorithm combining Ant Colony Optimization and Simulated Annealing

摘要：

This paper has been proposed an approach based on ACO-SA algorithm for the multi-objective Distribution Feeder Reconfiguration. The simulation results have shown that global or close to global optimum solutions for the system losses, the voltage deviation was attained. Also, the proposed approach minimizes the number of switching operations. The proposed method is independent on the initial status of network switches. The ACO-SA is a combination of two powerful optimization algorithms: Ant Colony Optimization and Simulated Optimization.

关键词： Evolutionary Algorithm Ant Colony Optimization Simulated Annealing

作者: Xu XueMei

作者单位: Jiangsu Nantong University

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Intelligent Ubiquitous and Education(2010年第三届智能普适计算与教育国际研讨会 IUCE 2010)

会议地点: 北京

会议语种:英文

页码: 58-61

在线出版日期: 2010-09-18（万方平台首次上网日期，不代表论文的发表时间）