A Comprehensive Survey on the Recent Variants and Applications of Membrane-Inspired Evolutionary Algorithms

被引:18
作者
Alsalibi, Bisan [1 ]
Mirjalili, Seyedali [2 ]
Abualigah, Laith [3 ]
Yahya, Rafaa Ismael [4 ]
Gandomi, Amir H. [5 ]
机构
[1] Univ Sains Malaysia, Sch Comp Sci, Penang Usm 11800, Malaysia
[2] Torrens Univ Australia, Ctr Artificial Intelligence Res & Optimizat, 90 Bowen Terrace, Adelaide, SA 4006, Australia
[3] Amman Arab Univ, Fac Comp Sci & Informat, Amman 11953, Jordan
[4] Mustansiriyah Univ, Coll Sci, Dept Comp, Baghdad, Iraq
[5] Univ Technol Sydney, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia
关键词
PARTICLE SWARM OPTIMIZATION; ARTIFICIAL BEE COLONY; P-SYSTEMS; SEARCH;
D O I
10.1007/s11831-021-09693-5
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the last decade, the application of membrane-inspired evolutionary algorithms in real-life problems has attracted much attention due to their flexibility and parallelizability. Almost seven years have passed since the first membrane algorithms survey paper was published in 2014. Considering the importance and ongoing research on such algorithms and their applications in various disciplines, this paper presents a comprehensive review of the published literature and suggests future directions. This review aims to summarize and analyze membrane algorithms based on the used nature-inspired algorithm, membrane structure, membrane rules, and their merits and demerits. Furthermore, an extensive bibliography about their real-world applications is presented.
引用
收藏
页码:3041 / 3057
页数:17
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