Review of Metaheuristics Inspired from the Animal Kingdom

被引：31
作者：
Dragoi, Elena Niculina [1 ,2 ]
Dafinescu, Vlad [2 ,3 ]
机构：
[1] Gheorghe Asachi Tech Univ, Fac Automat Control & Comp Engn, Bld Dimitrie Mangeron 27, Iasi 700050, Romania
[2] Gheorghe Asachi Tech Univ, Fac Chem Engn & Environm Protect Cristofor Simion, Bld Dimitrie Mangeron 73, Iasi 700050, Romania
[3] Emergency Hosp Prof Dr N Oblu, Str Ateneului 2, Iasi 700309, Romania
来源：
MATHEMATICS | 2021年 / 9卷 / 18期
关键词：
metaheuristics; optimization; animal-inspired; exploration; exploitation; MIGRATING BIRDS OPTIMIZATION; BIOGEOGRAPHY-BASED OPTIMIZATION; SPIDER MONKEY OPTIMIZATION; BACKTRACKING SEARCH ALGORITHM; BEES MATING OPTIMIZATION; GREY WOLF OPTIMIZER; IMPERIALIST COMPETITIVE ALGORITHM; MARINE PREDATORS ALGORITHM; CHICKEN SWARM OPTIMIZATION; OPTIMAL FORAGING ALGORITHM;
D O I：
10.3390/math9182335
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The search for powerful optimizers has led to the development of a multitude of metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom as a source of inspiration and performs an extensive, yet not exhaustive, review of the animal inspired metaheuristics proposed in the 2006-2021 period. The review is organized considering the biological classification of living things, with a breakdown of the simulated behavior mechanisms. The centralized data indicated that 61.6% of the animal-based algorithms are inspired from vertebrates and 38.4% from invertebrates. In addition, an analysis of the mechanisms used to ensure diversity was performed. The results obtained showed that the most frequently used mechanisms belong to the niching category.
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页数：52
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