Artificial Tribe Algorithm for Solving Constrained Optimization Problems

摘要：

Artificial Tribe Algorithm (ATA) is a novel optimization algorithm. This paper presents the comparison results on the performance of the ATA for solving constrained optimization problems. The penalty function method and non parameter penalty method are applied to a set of constrained problems. The simulation results show that ATA is an efficient algorithm for constrained optimization problems.

关键词： artificial tribe algorithm bionic intellident optimization algorithm optimization constrained optimization problem evolutionary algorithms

作者: Tanggong Chen Youhua Wang Lingling Pang Wenhui Jia Zhi Liu Xiaowei Wei

作者单位: Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 179-182

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）