A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …
observed with almost the same inherited weaknesses. The main reason is that a few studies …
[HTML][HTML] A hybrid moth–flame algorithm with particle swarm optimization with application in power transmission and distribution
The transmission lines are used for power distribution across large distances. Different
parameters affect the power transmission efficiency, and the quality of service. Furthermore …
parameters affect the power transmission efficiency, and the quality of service. Furthermore …
An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
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 …
algorithm based on the moth's movement towards the moon. Premature convergence and …
An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis
H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …
the thinking patterns of the human brain with specifications such as real-time learning, self …
Non-dominated sorting advanced butterfly optimization algorithm for multi-objective problems
This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
A hybrid moth flame optimization algorithm for global optimization
Abstract The Moth Flame Optimization (MFO) algorithm shows decent performance results
compared to other meta-heuristic algorithms for tackling non-linear constrained global …
compared to other meta-heuristic algorithms for tackling non-linear constrained global …
Multi-population-based adaptive sine cosine algorithm with modified mutualism strategy for global optimization
AK Saha - Knowledge-Based Systems, 2022 - Elsevier
The sine cosine algorithm (SCA) is a population-based metaheuristic strategy that has been
demonstrated competitive performance and has received significant attention from scientists …
demonstrated competitive performance and has received significant attention from scientists …
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
The COVID-19 is one of the most significant obstacles that humanity is now facing. The use
of computed tomography (CT) images is one method that can be utilized to recognize …
of computed tomography (CT) images is one method that can be utilized to recognize …
Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection
NK Hussein, M Qaraad, S Amjad… - Journal of …, 2023 - academic.oup.com
The paper addresses the limitations of the Moth-Flame Optimization (MFO) algorithm, a meta-
heuristic used to solve optimization problems. The MFO algorithm, which employs moths' …
heuristic used to solve optimization problems. The MFO algorithm, which employs moths' …
[HTML][HTML] Centroid opposition-based backtracking search algorithm for global optimization and engineering problems
S Debnath, S Debbarma, S Nama, AK Saha… - … in Engineering Software, 2024 - Elsevier
Evolutionary algorithms (EAs) have a lot of potential to handle nonlinear and non-convex
objective functions. Particularly, the backtracking search algorithm (BSA) is a popular nature …
objective functions. Particularly, the backtracking search algorithm (BSA) is a popular nature …