SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications

Chimp Optimization Algorithm (ChoA) is a recently developed meta-heuristic approach which is inspired by the individual intelligence and sexual motivation of chimps. It is designed for trapping the local optima to alleviate the slow convergence speed. In this paper, a hybrid algorithm is developed w...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 222; p. 106926
Main Author:	Dhiman, Gaurav
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 21.06.2021 Elsevier Science Ltd
Subjects:	Algorithms Chimp Optimization Algorithm (choA) Compression Compression springs Convergence Crashworthiness Effectiveness Efficiency Engineering Engineering design Exploitation Gear trains Heuristic Heuristic methods Impact strength Intelligence Meta-heuristics Optimization Optimization algorithms Pressure vessel design Pressure vessels Primates Robustness Sexual motivation Sine–cosine Spotted Hyena Optimizer (SHO) Swarm-intelligence Trigonometric functions Swarm-intelligence Engineering design Chimp Optimization Algorithm (choA) Spotted Hyena Optimizer (SHO) Sine–cosine Optimization Meta-heuristics
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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