An efficient hybrid swarm intelligence optimization algorithm for solving nonlinear systems and clustering problems

This article proposes a new hybrid swarm intelligence optimization algorithm called monarch butterfly optimization (MBO) algorithm with cuckoo search (CS) algorithm, named MBOCS, for optimization problems. MBO algorithm is known for its disability to discover feasible solutions over different runs b...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 27; číslo 13; s. 8867 - 8895
Hlavní autoři:	Tawhid, Mohamed A., Ibrahim, Abdelmonem M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023
Témata:	Application of Soft Computing Artificial Intelligence Computational Intelligence Control Engineering Mathematical Logic and Foundations Mechatronics Robotics Cuckoo search Monarch butterfly optimization Clustering problem Hybrid meta-heuristic Nonlinear system of equations
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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