A quantum-behaved simulated annealing algorithm-based moth-flame optimization method

C Yu, AA Heidari, H Chen - Applied Mathematical Modelling, 2020 - Elsevier
… Wilcoxon test is a test method with statistical significance to prove whether there is a
significant … From the above analysis, we can see that using the swarm intelligence optimization …

An enhanced Moth-flame optimization algorithm for permutation-based problems

A Helmi, A Alenany - Evolutionary Intelligence, 2020 - Springer
Moth-flame optimizer (MFO) is one of the recently proposed metaheuristic optimization
techniques which has been successfully used in wide range of applications. However, there are …

Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation

SK Sahoo, EH Houssein, M Premkumar… - Expert Systems with …, 2023 - Elsevier
… The experimental section of this paper is particularly robust, with tests of not just the
diversity, effect of parameters, statistical analysis, and normal engineering test issues, but also …

How effective is the moth-flame optimization in diabetes data classification

SK Majhi - Recent Developments in Machine Learning and Data …, 2019 - Springer
… Many statistical techniques and cognitive science approaches like machine intelligence are
… A comparative analysis has been performed with respect to the recently published works. …

Loading pattern optimization for a PWR using multi-swarm moth flame optimization method with predator

S Ishiguro, T Endo, A Yamamoto - Journal of Nuclear Science and …, 2020 - Taylor & Francis
moth toward a flame generates a new candidate moth. Distance between the current moth
and a flame … to choose candidate moth position, is an important factor, sensitivity analysis is …

Moth-flame optimization based deep feature selection for facial expression recognition using thermal images

S Chatterjee, D Saha, S Sen, D Oliva… - Multimedia Tools and …, 2024 - Springer
… [53] used image analysis software to analyze facial expressions of pain and pleasure … to
humans in distinguishing these expressions, and statistical methods were used to explain why …

Short-term operational scheduling of unit commitment using binary alternative moth-flame optimization

S Kigsirisin, H Miyauchi - IEEE Access, 2021 - ieeexplore.ieee.org
… cost by BAMFO and its statistical analysis prove the performances of BAMFO superior to
BMFO and other optimization methods in the literature. The abovementioned flying movements …

[PDF][PDF] Enhancing extreme learning machines classification with moth-flame optimization technique

OA Alade, R Sallehuddin, NHM Radzi - Indonesian Journal of …, 2022 - eprints.utm.my
… over these algorithms and analyze the significant improvement … The better result of the two
comparisons for statistical and … the ELM algorithm in all the statistical and Wilcoxon rank test …

Moth-flame optimization based segmentation for MRI liver images

S Said, A Mostafa, EH Houssein, AE Hassanien… - Proceedings of the …, 2018 - Springer
… Computerized medical imaging analysis aims to detect and delineate anatomical structures.
… The experiments of the proposed approach of segmentation using MFO, statistical image …

An improved moth flame optimization algorithm based on rough sets for tomato diseases detection

AE Hassanien, T Gaber, U Mokhtar, H Hefny - Computers and electronics in …, 2017 - Elsevier
moth-flame approach to automatically detect tomato diseases was proposed. The moth-flame
The proposed algorithm used both of the power of exploration of the moth flame and the …