Application of a Modified SAGACIA Optimization Algorithm in Multimodal Function Optimization

摘要：

Aiming at the problem which searches step S parameter is invariable in the process of SAGACIA optimization algorithm, the adaptive step was presented, which makes step parameter 8 change adaptively in the process of optimization. And the modified adaptive SAGACIA optimization algorithm was used in optimizing multimodal function, which efficiently solves the partial search performance and the global convergence. The resuls of the applications showed that the modified SAGACIA optimization algorithm is practical and efficient.

关键词： SAGACIA Optimization Algorithm Multimodal Function Adaptive Step δ Convergence Property

作者: Xiushuang CAO Haomiao ZHOU Junshuang MA Yaluo ZHOU

作者单位: Department of Information Engineering,Tangshan College,Tangshan,China,063000 College of Computer and Automatic control,Hebei Polytechnic University,Tangshan 063000,China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 110-113

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）