A comprehensive survey of Crow Search Algorithm and its applications

被引：61

作者：

Meraihi, Yassine ^{[1
]}

Gabis, Asma Benmessaoud ^{[2
]}

Ramdane-Cherif, Amar ^{[3
]}

Acheli, Dalila ^{[4
]}

机构：

[1] Univ MHamed Bougara Boumerdes, LIST Lab, Ave Independence, Boumerdes 35000, Algeria

[2] Ecole Natl Super Informat, Lab Methodes Concept Syst, Algiers, Algeria

[3] Univ Versailles St Quentin En Yvelines, LISV Lab, 10-12 Ave Europe, F-78140 Velizy Villacoublay, France

[4] Univ MHamed Bougara Boumerdes, Automat Dept, Ave Independence, Boumerdes 35000, Algeria

来源：

ARTIFICIAL INTELLIGENCE REVIEW | 2021年 / 54卷 / 04期

关键词：

Crow Search Algorithm; Optimization; Nature-inspired algorithm; Swarm intelligence; Meta-heuristics; CENTRAL FORCE OPTIMIZATION; HEURISTIC OPTIMIZATION; DESIGN; PERFORMANCE; MODEL; COST;

D O I：

10.1007/s10462-020-09911-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Crow Search Algorithm (CSA) is a recent swarm intelligence optimization algorithm inspired by the social intelligent behavior of crows for hiding food. It has been widely used to solve a large variety of optimization problems in several fields and areas of research and has proved its efficiency compared to several state-of-the-art optimization algorithms available in the literature. This paper presents a comprehensive overview of Crow Search Algorithm and its new variants categorized into modified and hybridized versions. It also describes the several applications of CSA in various domains such as feature selection, image processing, scheduling, economic dispatch, distributed generation, and other engineering problems. In addition, the paper suggests some interesting research areas related to CSA enhancement, CSA hybridization, and possible new applications.

引用

页码：2669 / 2716

页数：48

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