MOPGO: A New Physics-Based Multi-Objective Plasma Generation Optimizer for Solving Structural Optimization Problems

This paper proposes a new Multi-Objective Plasma Generation Optimization (MOPGO) algorithm, and its non-dominated sorting mechanism is investigated for numerous challenging real-world structural optimization design problems. The Plasma Generation Optimization (PGO) algorithm is a recently reported p...

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Vydáno v:	IEEE access Ročník 9; s. 84982 - 85016
Hlavní autoři:	Kumar, Sumit, Jangir, Pradeep, Tejani, Ghanshyam G., Premkumar, Manoharan, Alhelou, Hassan Haes
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Complexity Constraints optimization problems crowding distance Design optimization Energy levels Energy states Excitation Heuristic methods Ionization meta-heuristics Multiple objective analysis non-dominated sorting numerical optimization Optimization Pareto front Performance measurement Plasma Plasma (physics) Plasmas Search algorithms Search problems Slime Sorting Sorting algorithms structure optimization Symbiosis Trusses
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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