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Multi-objective exponential distribution optimizer (MOEDO): a novel math-inspired multi-objective algorithm for global optimization and real-world engineering design problems

Abstract The exponential distribution optimizer (EDO) represents a heuristic approach, capitalizing on exponential distribution theory to identify global solutions for complex optimization challenges. This study extends the EDO's applicability by introducing its multi-objective version, the multi-ob...

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Bibliografiset tiedot
Päätekijät: Kanak Kalita, Janjhyam Venkata Naga Ramesh, Lenka Cepova, Sundaram B. Pandya, Pradeep Jangir, Laith Abualigah
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Portfolio 2024-01-01
Sarja:Scientific Reports
Linkit:https://doi.org/10.1038/s41598-024-52083-7
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