Advancements in pigeon-inspired optimization and its variants

被引：17
|
作者：
Duan, Haibin [1 ,2 ]
Qiu, Huaxin [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China
[2] Peng Cheng Lab, Shenzhen 518000, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2019年 / 62卷 / 07期
基金：
中国国家自然科学基金;
关键词：
pigeon-inspired optimization; homing pigeon; bio-inspired computing; map and compass operator; landmark operator; MAGNETORECEPTION; ALGORITHM; VEHICLE;
D O I：
10.1007/s11432-018-9752-9
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The returning of homing pigeons to their lofts from remote and unfamiliar locations with great accuracy remains a mystery. Pigeon-inspired optimization (PIO), which is a novel mono-objective continuous optimization algorithm, is inspired by the hidden mechanism behind the remarkable navigation capacity of homing pigeons. Since their development, PIO and its variants have been widely applied to various fields ranging from combinatorial optimization to multi-objective optimization in many areas, such as aerospace, medicine, and energy. This study aims to review the modifications of PIO from four aspects of improvement measures, namely, component replacement, operation addition, structure adjustment, and application expansion. It also summarizes the problems of existing research and plots the course of future effort.
引用
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页数：10
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