An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization …

X Zhao, Y Fang, L Liu, J Li, M Xu - Applied Intelligence, 2020 - Springer
Abstract Moth-Flame Optimization (MFO) algorithm is a new population-based meta-
heuristic algorithm for solving global optimization problems. Flames generation and spiral …
被引用次数：34 相关文章 所有 3 个版本

Death mechanism-based moth–flame optimization with improved flame generation mechanism for global optimization tasks

Z Li, J Zeng, Y Chen, G Ma, G Liu - Expert Systems with Applications, 2021 - Elsevier
Abstract Moth–Flame Optimization (MFO) algorithm is widely used to solve real parameter
global optimization problems. However, the original MFO algorithm has some problems …
被引用次数：30 相关文章 所有 2 个版本
[PDF] academia.edu

Opposition-based moth flame optimization with Cauchy mutation and evolutionary boundary constraint handling for global optimization

S Sapre, S Mini - Soft Computing, 2019 - Springer
Moth flame optimization (MFO) algorithm proves to be an excellent choice for numerical
optimization. However, for some complex objectives, MFO may get trapped in local optima or …
被引用次数：91 相关文章 所有 6 个版本

An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy

SK Sahoo, AK Saha, S Nama, M Masdari - Artificial Intelligence Review, 2023 - Springer
Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization
algorithm based on the moth's movement towards the moon. Premature convergence and …
被引用次数：48 相关文章 所有 4 个版本

Omfo: A new opposition-based moth-flame optimization algorithm for solving unconstrained optimization problems

W Apinantanakon, K Sunat - … Technology 2017: Proceedings of the 13th …, 2018 - Springer
Abstract The Moth-Flame Optimization (MFO) algorithm is a nature-inspired search algorithm
that has delivered good performance and efficiency in solving various optimization …
被引用次数：26 相关文章

Enhanced Moth-flame optimizer with mutation strategy for global optimization

Y Xu, H Chen, J Luo, Q Zhang, S Jiao, X Zhang - Information Sciences, 2019 - Elsevier
Moth-flame optimization (MFO) is a widely used nature-inspired algorithm characterized by a
simple structure with simple parameters. However, for some complex optimization tasks …
被引用次数：419 相关文章 所有 2 个版本

Advanced orthogonal moth flame optimization with Broyden–Fletcher–Goldfarb–Shanno algorithm: Framework and real-world problems

H Zhang, R Li, Z Cai, Z Gu, AA Heidari, M Wang… - Expert Systems with …, 2020 - Elsevier
As a typical emergent swarm intelligence algorithm, Moth-Flame Optimization (MFO) has
been created to deal with global optimization problems. Since the introduction, it has been …
被引用次数：67 相关文章
[PDF] researchgate.net

Enhanced a hybrid moth-flame optimization algorithm using new selection schemes

M Shehab, H Alshawabkah, L Abualigah… - Engineering with …, 2021 - Springer
This paper presents two levels of enhancing the basic Moth flame optimization (MFO)
algorithm. The first step is hybridizing MFO and the local-based algorithm, hill climbing (HC) …
被引用次数：78 相关文章 所有 5 个版本

An Improved Moth-Flame Optimization algorithm with hybrid search phase

D Pelusi, R Mascella, L Tallini, J Nayak, B Naik… - Knowledge-Based …, 2020 - Elsevier
In order to solve real-life problems, several metaheuristic optimization algorithms have been
developed. The Moth-Flame Optimization (MFO) algorithm is a search algorithm based on a …
被引用次数：109 相关文章 所有 3 个版本
[PDF] academia.edu

An enhanced moth flame optimization

K Kaur, U Singh, R Salgotra - Neural Computing and Applications, 2020 - Springer
Moth flame optimization (MFO) is a recent nature-inspired algorithm, motivated from the
transverse orientation of moths in nature. The transverse orientation is a special kind of …
被引用次数：72 相关文章 所有 4 个版本