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MFO-SFR: An Enhanced Moth-Flame Optimization Algorithm Using an Effective Stagnation Finding and Replacing Strategy

Moth-flame optimization (MFO) is a prominent problem solver with a simple structure that is widely used to solve different optimization problems. However, MFO and its variants inherently suffer from poor population diversity, leading to premature convergence to local optima and losses in the quality...

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Uloženo v:
Hlavní autoři: Mohammad H. Nadimi-Shahraki, Hoda Zamani, Ali Fatahi, Seyedali Mirjalili
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2023-02-01
Edice:Mathematics
Témata:
global optimization problems
metaheuristic algorithms
moth-flame optimization
premature convergence
population diversity
On-line přístup:https://www.mdpi.com/2227-7390/11/4/862
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