MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures

The present study investigates a novel Multiobjective Thermal Exchange Optimization (MOTEO) algorithm for truss design. Established on Newton’s law of cooling framework, this multiobjective version is revised and further improved from the single-objective version of Thermal Exchange Optimization usi...

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Vydáno v:	Knowledge-based systems Ročník 242; s. 108422
Hlavní autoři:	Kumar, Sumit, Jangir, Pradeep, Tejani, Ghanshyam G., Premkumar, Manoharan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 22.04.2022 Elsevier Science Ltd
Témata:	Algorithms Bars Convergence Crowding Crowding stress Design optimization Exchanging Multiobjective problems, Physics-based algorithm Multiple objective analysis Newton Theory Novels Optimization Pareto front Performance evaluation Performance indicators Physics Quantitative analysis Reaction time Response time Statistical analysis Structural optimization, Metaheuristics Trusses Structural optimization, Metaheuristics Pareto front Multiobjective problems, Physics-based algorithm
ISSN:	0950-7051, 1872-7409
On-line přístup:	Získat plný text
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