Dwarf Mongoose Optimization Algorithm

This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 continuous/discrete engineering optimization problems. The DMO mimics the foraging behavior of the dwarf mongoose. The restrictive mode...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering Jg. 391; S. 114570
Hauptverfasser:	Agushaka, Jeffrey O., Ezugwu, Absalom E., Abualigah, Laith
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.03.2022 Elsevier BV
Schlagworte:	Algorithms Continuity (mathematics) Dwarf Mongoose Optimization Algorithm Engineering design problems Forage Foraging behavior Global optimization Heuristic methods Metaheuristic Nature-inspired algorithms Nutrition Optimization Optimization algorithms Performance measurement Provisioning Dwarf Mongoose Optimization Algorithm Metaheuristic Global optimization Engineering design problems Nature-inspired algorithms
ISSN:	0045-7825
Online-Zugang:	Volltext
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