A comprehensive survey: Whale Optimization Algorithm and its applications
FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
N Rana, MSA Latiff, SM Abdulhamid… - Neural Computing and …, 2020 - Springer
Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
Support vector machine (SVM) is a widely used pattern classification method that its
classification accuracy is greatly influenced by both kernel parameter setting and feature …
classification accuracy is greatly influenced by both kernel parameter setting and feature …
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …
some spotted defects in its generated patterns during the searching phases. In this study, an …
Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method
Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …
optima problems, because of their ability to explore and exploit various zones of the feature …
融合柯西变异和反向学习的改进麻雀算法.
毛清华， 张强 - Journal of Frontiers of Computer Science & …, 2021 - search.ebscohost.com
针对基本麻雀搜索算法在迭代后期种群多样性减小, 容易陷入局部极值的问题,
提出一种融合柯西变异和反向学习的改进麻雀算法(ISSA). 首先, 采用一种映射折叠次数无限的 …
提出一种融合柯西变异和反向学习的改进麻雀算法(ISSA). 首先, 采用一种映射折叠次数无限的 …
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models
Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and
pollution-free solar energy. However, the parameter estimation of PV systems remains very …
pollution-free solar energy. However, the parameter estimation of PV systems remains very …
On the root mean square error (RMSE) calculation for parameter estimation of photovoltaic models: A novel exact analytical solution based on Lambert W function
In the literature, one can find a lot of methods and techniques employed to estimate single
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …