An optimization method: hummingbirds optimization algorithm  

作　　者：ZHANG Zhuoran HUANG Changqiang HUANG Hanqiao TANG Shangqin DONG Kangsheng 

机构地区：[1]Aeronautics Engineering College, Air Force Engineering University [2]Unmanned System Research Institute, Northwestern Polytechnical University

出　　处：《Journal of Systems Engineering and Electronics》2018年第2期386-404,共19页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61601505)

摘　　要：This paper introduces an optimization algorithm, the hummingbirds optimization algorithm(HOA), which is inspired by the foraging process of hummingbirds. The proposed algorithm includes two phases: a self-searching phase and a guide-searching phase. With these two phases, the exploration and exploitation abilities of the algorithm can be balanced. Both the constrained and unconstrained benchmark functions are employed to test the performance of HOA. Ten classic benchmark functions are considered as unconstrained benchmark functions. Meanwhile, two engineering design optimization problems are employed as constrained benchmark functions. The results of these experiments demonstrate HOA is efficient and capable of global optimization.This paper introduces an optimization algorithm, the hummingbirds optimization algorithm(HOA), which is inspired by the foraging process of hummingbirds. The proposed algorithm includes two phases: a self-searching phase and a guide-searching phase. With these two phases, the exploration and exploitation abilities of the algorithm can be balanced. Both the constrained and unconstrained benchmark functions are employed to test the performance of HOA. Ten classic benchmark functions are considered as unconstrained benchmark functions. Meanwhile, two engineering design optimization problems are employed as constrained benchmark functions. The results of these experiments demonstrate HOA is efficient and capable of global optimization.

关 键 词：population-based algorithm global optimization hummingbirds optimization algorithm(HOA) engineering design optimization 

分 类 号：N945[自然科学总论—系统科学] TN01[电子电信—物理电子学]