Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
Novel meta-heuristic algorithm for feature selection, unconstrained functions and engineering problems
This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …
Wind speed ensemble forecasting based on deep learning using adaptive dynamic optimization algorithm
The development and deployment of an effective wind speed forecasting technology can
improve the safety and stability of power systems with significant wind penetration. Due to …
improve the safety and stability of power systems with significant wind penetration. Due to …
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment
M Ghobaei-Arani, A Shahidinejad - Expert Systems with Applications, 2022 - Elsevier
The rapid development of Internet of Things (IoT)-based applications and the era of 5G
networks has led to an exponential increase in the amount of data required for processing …
networks has led to an exponential increase in the amount of data required for processing …
Adaptive dynamic meta-heuristics for feature selection and classification in diagnostic accuracy of transformer faults
SSM Ghoneim, TA Farrag, AA Rashed… - Ieee …, 2021 - ieeexplore.ieee.org
Detection of transformer faults avoids the transformer's undesirable loss from service and
ensures utility service continuity. Diagnosis of transformer faults is determined using …
ensures utility service continuity. Diagnosis of transformer faults is determined using …
CPPE: An improved phasmatodea population evolution algorithm with chaotic maps
The Phasmatodea Population Evolution (PPE) algorithm, inspired by the evolution of the
phasmatodea population, is a recently proposed meta-heuristic algorithm that has been …
phasmatodea population, is a recently proposed meta-heuristic algorithm that has been …
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
The squeezing behavior of surrounding rock can be described as the time-dependent large
deformation during tunnel excavation, which appears in special geological conditions, such …
deformation during tunnel excavation, which appears in special geological conditions, such …
Solving optimization problems of metamaterial and double T-shape antennas using advanced meta-heuristics algorithms
This study offers an adaptive dynamic sine cosine fitness grey wolf optimizer (ADSCFGWO)
for optimizing the parameters of two types of antennas. The two types of antennas are …
for optimizing the parameters of two types of antennas. The two types of antennas are …
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
The robustness of landslide prediction models has become a major focus of researchers
worldwide. We developed two novel hybrid predictive models that combine the self …
worldwide. We developed two novel hybrid predictive models that combine the self …