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Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method
The (photovoltaic) PV models' performance is strongly dependent on thei...
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Towards Augmented Kernel Extreme Learning Models for Bankruptcy Prediction: Algorithmic Behavior and Comprehensive Analysis
Interested readers to the codes and idea of this research can always vis...
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Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
Although the continuous version of ant colony optimizer (ACOR) has been ...
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Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
The first powerful variant of the Harris hawks optimization (HHO) is pro...
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Rationalized Fruit Fly Optimization with Sine Cosine Algorithm: A Comprehensive Analysis
The fruit fly optimization algorithm (FOA) is a well-regarded algorithm ...
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A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems
This paper presents an enhanced Harris Hawks Optimizer (HHO) to tackle ...
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An enhanced associative learning-based exploratory whale optimizer for global optimization
Whale optimization algorithm (WOA) is a recent nature-inspired metaheuri...
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A Quantum-behaved Simulated Annealing Enhanced Moth-flame Optimization Method
This study develops an improved moth-flame optimization (MFO) algorithm,...
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Orthogonally adapted Harris Hawk Optimization for parameter estimation of photovoltaic models
Extracting parameters and constructing high-precision models of photovol...
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Opposition-based Learning Harris Hawks Optimization with Advanced Transition Rules: Principles and Analysis
Harris hawks optimizer (HHO) is a recently developed, efficient meta-heu...
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Boosted Hunting-based Fruit Fly Optimization and Advances in Real-world Problems
Fruit fly optimization algorithm (FOA) is a well-established meta-heuris...
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Exploratory Differential Ant Lion-based Optimization
In this work, an improved alternative method of the ant lion optimizer (...
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Augmented whale feature selection for IoT attacks: Structure, analysis and applications
Smart connected appliances expand the boundaries of the conventional Int...
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Orthogonal Learning Harmonizing Mutation-based Fruit Fly-inspired Optimizers
The original fruit fly optimizer (FOA) has two core disadvantages: slow ...
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Advanced orthogonal moth flame optimization with Broyden–Fletcher–Goldfarb–Shanno algorithm: Framework and real-world problems
As a typical emergent swarm intelligence algorithm, Moth-Flame Optimizat...
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Prediction Optimization of Cervical Hyperextension Injury: Kernel Extreme Learning Machines With Orthogonal Learning Butterfly Optimizer and Broyden- Fletcher-Goldfarb-Shanno Algor
In this research, X-ray and MRI images of patients suffering from cervic...
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A Dynamic Locality Multi-Objective Salp Swarm Algorithm for Feature Selection
Developing intelligent analytical tools requires pre-processing data and...
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Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification
Text classification is one of the challenging computational tasks in mac...
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Ensemble Mutation-driven Salp Swarm Algorithm with Restart Mechanism: Framework and Fundamental Analysis
For post-publication supports and guides on the idea of the paper, pleas...
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Multi-core sine cosine optimization: Methods and inclusive analysis
A public repository will support this research at http://aliasgharheidar...
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Predicting Di-2-Ethylhexyl Phthalate Toxicity: Hybrid Integrated Harris Hawks Optimization with Support Vector Machines
Phthalic acid esters (PAEs) are organic pollutants and synthetic compoun...
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Horizontal and vertical crossover of Harris hawk optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models
For post-publication guidance, supports, and materials for this research...
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Evaluation of constraint in photovoltaic models by exploiting an enhanced ant lion optimizer
A public online service supports this research for any question and appl...
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An Efficient Binary Salp Swarm Algorithm with Crossover Scheme for Feature Selection Problems
Abstract Searching for the (near) optimal subset of features is a challe...
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Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review
Standalone photovoltaic (SAPV) systems have been considered as promising...
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An Intelligent System for Spam Detection and Identification of the most Relevant Features based on Evolutionary Random Weight Networks
With the incremental use of e-mails as an essential and popular communic...
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Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns
Harris hawks optimization (HHO) is a newly developed swarm-based algorit...
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AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents
Random Weight Networks have been extensively used in many applications i...
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An efficient Harris hawks-inspired image segmentation method
Segmentation is a crucial phase in image processing because it simplifie...
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Slime mould algorithm: A new method for stochastic optimization
In this paper, a new stochastic optimizer, which is called slime mould a...
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Ant Colony Optimization with Horizontal and Vertical Crossover Search: Fundamental Visions for Multi-threshold Image Segmentation
The ant colony optimization (ACO) is the most exceptionally fundamental ...
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Application of Machine Learning to Stomatology: A Comprehensive Review
In recent years, machine learning methods has been widely used in variou...
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Harris Hawks Optimization: Algorithm and Applications
In this paper, a novel population-based, nature-inspired optimization pa...
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Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis
Fruit fly optimization algorithm (FOA) is a well-known optimization algo...
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