A New Individual-decision Cognitive Learning Factor Selection Strategy

摘要：

As an important parameter, up to day, many strategies for cognitive coefficient have been proposed However, there is still some work need to do. Since each particle maintains different living experience, e.g. feeding, nursing baby and so on. Thus different individual will make a different decision. However, this decision mechanism is not included in the improved particle swarm optimization (PSO). Therefore, with the assistant of mature individual decision way and mechanism, this paper dynamically adjusts cognitive coefficient by the change ratio of historical fitness value. Using several test functions to simulation, Simulation results show that its performance is superior to other two variants.

关键词： individual decision cognitive coefficient change ratio

作者: Guohui Jiao Zhihua Cui

作者单位: Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technolog Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technolog

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）