The whale optimization algorithm (WOA) is a nature‐inspired metaheuristic optimization algorithm, which was proposed by Mirjalili and Lewis in 2016. This algorithm has shown its …
G Xiong, J Zhang, D Shi, Y He - Energy conversion and management, 2018 - Elsevier
Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear multivariable strongly coupled optimization problem. In this paper, an improved whale …
J Liang, S Ge, B Qu, K Yu, F Liu, H Yang, P Wei… - Energy Conversion and …, 2020 - Elsevier
With the increasing demand for solar energy, accurate, reliable, and efficient parameters extraction of photovoltaic models is becoming more significant and difficult. Accordingly, a …
G Xiong, J Zhang, X Yuan, D Shi, Y He, G Yao - Solar Energy, 2018 - Elsevier
Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear multivariable strongly coupled optimization problem. The original differential evolution (DE) …
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
The slime mould algorithm is a stochastic optimization algorithm based on the oscillation mode of nature's slime mould, and it has effective convergence. On the other hand, it gets …
M Zhang, D Long, T Qin, J Yang - Symmetry, 2020 - mdpi.com
In order to solve the problem that the butterfly optimization algorithm (BOA) is prone to low accuracy and slow convergence, the trend of study is to hybridize two or more algorithms to …
H Mohammed, T Rashid - Neural Computing and Applications, 2020 - Springer
A recent metaheuristic algorithm, such as Whale optimization algorithm (WOA), was proposed. The idea of proposing this algorithm belongs to the hunting behavior of the …
This chapter presents and analyzes the Whale Optimization Algorithm. The inspiration of this algorithm is first discussed in details, which is the bubble-net foraging behaviour of …