Hybrid Nature-Inspired Optimization Algorithm: Hydrozoan and Sea Turtle Foraging Algorithms for Solving Continuous Optimization Problems

In this paper, we develop a hybrid optimization algorithm inspired by the reproduction processes of hydrozoans and the foraging behavior of sea turtles for solving continuous optimization problems. Our hybrid algorithm combines the exploration capability of the hydrozoan algorithm with the exploitat...

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Vydané v:	IEEE access Ročník 8; s. 65780 - 65800
Hlavní autori:	Tansui, Daranat, Thammano, Arit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms Approximation algorithms Benchmark testing Crossovers Genetic algorithms Hybrid algorithm hydrozoan nature-inspired algorithm Operators (mathematics) Optimization Optimization algorithms Organisms Particle swarm optimization sea turtle Sea turtles
ISSN:	2169-3536, 2169-3536
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