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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Bibliographic Details

Published in:	IEEE access Vol. 8; pp. 65780 - 65800
Main Authors:	Tansui, Daranat, Thammano, Arit
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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