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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Vydáno v:	Knowledge-based systems Ročník 222; s. 106926
Hlavní autor:	Dhiman, Gaurav
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 21.06.2021 Elsevier Science Ltd
Témata:	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
On-line přístup:	Získat plný text
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