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Published in 2020 at "Journal of Classification"
DOI: 10.1007/s00357-018-9297-3
Abstract: Models based on machine learning algorithms have been developed to detect the breast cancer disease early. Feature selection is commonly applied to improve the performance of these models through selecting only relevant features. However, selecting…
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Keywords:
breast cancer;
optimization;
moth flame;
clinical breast ... See more keywords
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Published in 2020 at "Engineering with Computers"
DOI: 10.1007/s00366-020-00971-7
Abstract: 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), called MFOHC. The proposed algorithm takes the advantages…
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Keywords:
selection schemes;
flame optimization;
algorithm;
moth flame ... See more keywords
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Published in 2019 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2019.112105
Abstract: Abstract The off-grid electrification of remote communities, by utilizing renewable energy technologies through the development of smart micro-grids, is necessary to realize the sustainable development goals. Optimal sizing of an isolated micro-grid is challenging as…
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Keywords:
flame optimization;
moth flame;
micro;
demand response ... See more keywords
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Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.112764
Abstract: Abstract Defining the optimal parameters of the photovoltaic system (PV) models according to the actual real voltage and current data is a crucial process during designing, emulating, estimating, dominating, and optimizing photovoltaic systems. Therefore, it…
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Keywords:
nelder mead;
parameters identification;
moth flame;
method ... See more keywords
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Published in 2019 at "Journal of Nuclear Science and Technology"
DOI: 10.1080/00223131.2019.1700844
Abstract: ABSTRACT This paper aims to propose a new methodology for optimizing fuel loading pattern in a nuclear reactor which is important for its higher safety and economic efficiency. Previous researches have proposed various methodologies to…
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Keywords:
flame optimization;
multi swarm;
loading pattern;
moth flame ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025833
Abstract: A recently developed swarm intelligence algorithm by studying the natural moth’s biological behavior is called Moth-Flame Optimization (MFO). The advantages of MFO conclude a simple structure and a robust selection capability. Still, it is easy…
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Keywords:
scheme color;
image;
segmentation;
color image ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051175
Abstract: This study proposes a novel binary optimization method for solving unit commitment (UC) problems. Developed from moth-flame optimization (MFO), the proposed method is called binary alternative MFO (BAMFO). Originally, each MFO moth is restricted to…
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Keywords:
optimization;
unit commitment;
unit;
flame optimization ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193094
Abstract: The problem of cooperative arraying to jam is an important part of EW mission planning. Aiming at the problem that multi-objective optimization algorithm is easy to fall into local optimum and converge in three-objective optimization,…
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Keywords:
optimization algorithm;
flame optimization;
cooperative arraying;
arraying jam ... See more keywords
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Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/9178302
Abstract: Heart disease is among the leading causes of mortality globally. Predicting cardiovascular disease is a major difficulty in clinical data analysis. AI has been demonstrated to be powerful in deciding and anticipating an enormous measure…
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Keywords:
flame optimization;
heart diseases;
classification;
heart ... See more keywords
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Published in 2021 at "Entropy"
DOI: 10.3390/e23121637
Abstract: Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths toward the light source is an effective approach to solve global optimization problems. However, the MFO algorithm suffers from issues such as premature convergence,…
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Keywords:
optimization;
improved moth;
mfo algorithm;
flame optimization ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091923
Abstract: Automatic parking path optimization is a key point for automatic parking. However, it is difficult to obtain the smooth, accurate and optimal parking path by using traditional automatic parking optimization algorithms. So, based on the…
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Keywords:
automatic parking;
parking path;
moth flame;
path optimization ... See more keywords