An Improved Gaussian Pigeon-inspired Optimization Algorithm

被引：0
|
作者：
He, Jiahao [1 ]
Liu, Yanbin [1 ]
Chen, Boyi [1 ]
Yi, Chunlun [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Astronaut, Nanjing, Jiangsu, Peoples R China
来源：
2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2019年
关键词：
PIO; Gaussian mutation; global optimum;
D O I：
10.1109/cec.2019.8790348
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An improved Gaussian Pigeon-inspired Optimization algorithm is proposed to maintain diversity and improve the accuracy of the global optimum. In the proposed algorithm, Gaussian mutation is used to maintain the diversity of exploration, and the judgment on global optimum is used to improve the accuracy of global optimum. The simulation results show that the improved Gaussian Pigeon-inspired Optimization algorithm preserves the diversity of early evolution to avoid premature convergence. In addition, the judgment on global optimum improves the accuracy of the global optimum. The entire algorithm shows excellent performance in global optimization and proved to be effective for solving multimodal and non-convex problems with higher dimensions.
引用
收藏
页码：3270 / 3276
页数：7
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