Circulatory System Based Optimization (CSBO): an expert multilevel biologically inspired meta-heuristic algorithm
The optimization problems are becoming more complicated, requiring new and efficient
optimization techniques to solve them. Many bio-inspired meta-heuristic algorithms have …
optimization techniques to solve them. Many bio-inspired meta-heuristic algorithms have …
Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
R Rao - Decision science letters, 2016 - growingscience.com
The teaching-learning-based optimization (TLBO) algorithm is finding a large number of
applications in different fields of engineering and science since its introduction in 2011. The …
applications in different fields of engineering and science since its introduction in 2011. The …
Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems
The RIME optimization algorithm is a newly developed physics-based optimization algorithm
used for solving optimization problems. The RIME algorithm proved high-performing in …
used for solving optimization problems. The RIME algorithm proved high-performing in …
A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module
In order to carry out the evaluation, control and maximum power point tracking on
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …
Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k-best gravitational search strategy based grey wolf optimizer …
Y Yuan, X Mu, X Shao, J Ren, Y Zhao, Z Wang - Applied Soft Computing, 2022 - Elsevier
Highly non-linear optimization problems are widely found in many real-world engineering
applications. To tackle these problems, a novel assisted optimization strategy, named elite …
applications. To tackle these problems, a novel assisted optimization strategy, named elite …
Parameters identification of photovoltaic models using an improved JAYA optimization algorithm
Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristic curves is significant for the simulation, evaluation, and control of PV systems …
characteristic curves is significant for the simulation, evaluation, and control of PV systems …
Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models
Obtaining appropriate parameters of photovoltaic models based on measured current-
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …
Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation
Technical challenges facing the development of battery economic charging for energy
management arise from various contradictory objectives, immeasurable internal states, and …
management arise from various contradictory objectives, immeasurable internal states, and …
Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization
Parameters identification of photovoltaic (PV) model based on measured current-voltage
characteristic curves plays an important role in the simulation and evaluation of PV systems …
characteristic curves plays an important role in the simulation and evaluation of PV systems …
An improved Genghis Khan optimizer based on enhanced solution quality strategy for global optimization and feature selection problems
M Abdel-Salam, AI Alzahrani, F Alblehai… - Knowledge-Based …, 2024 - Elsevier
Feature selection (FS) is the activity of defining the most contributing feature subset among
all used features to improve the superiority of datasets with a large number of dimensions by …
all used features to improve the superiority of datasets with a large number of dimensions by …