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

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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Bibliographic Details
Main Authors: Mohammad H. Nadimi-Shahraki, Hoda Zamani, Ali Fatahi, Seyedali Mirjalili
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
global optimization problems
metaheuristic algorithms
moth-flame optimization
premature convergence
population diversity
Online Access:https://www.mdpi.com/2227-7390/11/4/862

Internet

https://www.mdpi.com/2227-7390/11/4/862

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