A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models

A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models

The laminar operator in water flow optimizer (WFO) determines the direction of the population based on randomly selected individual pointing towards the current best individual. This random flow direction introduces uncertainty and may lead to local optima. In this paper, we introduce a deep-layered...

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Bibliographic Details
Main Authors: Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Water flow optimizer
deep-layered structure
information exchange
hierarchical interaction
hierarchy
population structure
Online Access:https://ieeexplore.ieee.org/document/10908841/

Internet

https://ieeexplore.ieee.org/document/10908841/

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