Practicably Optimal Point and Its Solution in Deterministic System

摘要：

　　In some cases, its not enough to consider only the objective function of the global optimal point, but also the character of this point and its nearby area.To this end, the concept of practicably optimal point is introduced in this paper.Further, a novel intelligence method named simulated particle swarm optimization (NSPSO) algorithm is proposed to obtain the practicably optimal points according to different requirements.The optimization results reveal that the NSPSO algorithm has strong convergence and stability, and appears to be an efficient alternative for obtaining the practicably optimal points according to different requirements.

关键词： Practicably optimal point Global optimal point Simulated particle swarm optimization algorithm Stability Neighborhood characteristics

作者: Li Ruoping Kong Xiangyong Gao Liqun Zou Dexuan

作者单位: College of Information Science and Engineering,Northeastern University,Shenyang,China School of Electrical Engineering and Automation,Jiangsu Normal University,Xuzhou,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 143-146

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）