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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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 27; H. 13; S. 8867 - 8895
Hauptverfasser:	Tawhid, Mohamed A., Ibrahim, Abdelmonem M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023
Schlagworte:	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
Online-Zugang:	Volltext
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