A novel adaptive pigeon-inspired optimization algorithm based on evolutionary game theory

作     者：Xingshuo HAI Zili WANG Qiang FENG Yi REN Bo SUN Dezhen YANG Xingshuo HAI;Zili WANG;Qiang FENG;Yi REN;Bo SUN;Dezhen YANG

作者机构：School of Reliability and Systems Engineering Beihang University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2021年第64卷第3期

页      面：241-242页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 070105[理学-运筹学与控制论] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Pigeon-inspired optimization, Global continuous optimization problems, Evolutionary game theory Adaptability Local optimum 

摘      要：Dear editor,In pigeon-inspired optimization(PIO) algorithm [1], the computational process consists of two different stages that originate from the tools pigeons depending on during a flight. Based on this, its variants have been widely used in different domains and have achieved excellent results.