Jaya algorithm and applications: A comprehensive review
All the population-based optimization algorithms are probabilistic algorithms and require
only a few control parameters including number of candidates, number of iterations, elite …
only a few control parameters including number of candidates, number of iterations, elite …
A novel black widow optimization algorithm for multilevel thresholding image segmentation
Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …
pixels of the image into multiple classes that permits the analysis of the objects contained in …
Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional …
J Aguila-Leon, C Vargas-Salgado… - Expert Systems with …, 2023 - Elsevier
Solar photovoltaic systems are widely used; however, their performance is bound to weather
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization
The Electrocardiogram (ECG) arrhythmia classification has become an interesting research
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
An enhanced Archimedes optimization algorithm based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification
Meta-heuristic optimization algorithms aim to tackle real world problems through maximizing
some specific criteria such as performance, profit, and quality or minimizing others such as …
some specific criteria such as performance, profit, and quality or minimizing others such as …
Recent methodology-based gradient-based optimizer for economic load dispatch problem
Economic load dispatch (ELD) in power system problems involves scheduling the power
generating units to minimize cost and satisfy system constraints. Although previous works …
generating units to minimize cost and satisfy system constraints. Although previous works …
Gradient-based optimizer for parameter extraction in photovoltaic models
Solar radiation is increasingly used as a clean energy source, and photovoltaic (PV) panels
that contain solar cells (SCs) transform solar energy into electricity. The current-voltage …
that contain solar cells (SCs) transform solar energy into electricity. The current-voltage …
A modified Marine Predator Algorithm based on opposition based learning for tracking the global MPP of shaded PV system
Under partial shading condition, the power-voltage curve of the photovoltaic (PV) system
contains several maximum power points (MPPs). Among these points, there is only single …
contains several maximum power points (MPPs). Among these points, there is only single …
Self-adaptive equilibrium optimizer for solving global, combinatorial, engineering, and multi-objective problems
This paper proposes a self-adaptive Equilibrium Optimizer (self-EO) to perform better global,
combinatorial, engineering, and multi-objective optimization problems. The new self-EO …
combinatorial, engineering, and multi-objective optimization problems. The new self-EO …
A modified cuckoo search algorithm implemented with SCA and PSO for multi-robot cooperation and path planning
B Sahu, PK Das, R Kumar - Cognitive Systems Research, 2023 - Elsevier
The paper puts forward an intelligent approach that deals with the computation of an optimal
path with collision avoidance for the stick-carrying twin moving from a pre-assumed start …
path with collision avoidance for the stick-carrying twin moving from a pre-assumed start …