Improved Hippo algorithm optimization strategy for heliostat field layout with dynamic time weighting
Authors:
- Qiyue XieQiyue Xie
- Chao HuangCHChao Huang
- Yucai ZhouYZYucai Zhou
- Zhongli ShenZSZhongli Shen
- Qiang FuQFQiang Fu
- Xiaoli WangXWXiaoli Wang
- 26 July 2025
- journal article
- Published by Elsevier in Applied Thermal Engineering
- Vol. 279
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Hunan Province (2023JJ30437)
- National Natural Science Foundation of China (62373067)
- National Natural Science Foundation of China (62073342)
This publication has 29 references indexed in Scilit:
- Optimization of biomimetic heliostat field using heuristic optimization algorithmsKnowledge-Based Systems, 2022
- Performance analysis of a solar power tower plant integrated with trough collectorsApplied Thermal Engineering, 2022
- Heliostat field aiming strategy optimization with post-installation calibrationApplied Thermal Engineering, 2022
- A comprehensive mathematical approach and optimization principle for solar flux distribution and optical efficiency in a solar towerApplied Thermal Engineering, 2021
- Rose pattern for heliostat field optimization with a dynamic speciation‐based mutation differential evolutionInternational Journal of Energy Research, 2019
- An improvement crossover operation method in genetic algorithm and spatial optimization of heliostat fieldEnergy, 2018
- Optimization of a heliostat field layout using hybrid PSO-GA algorithmApplied Thermal Engineering, 2018
- An efficient code to optimize the heliostat field and comparisons between the biomimetic spiral and staggered layoutRenewable Energy, 2016
- A computationally efficient method for the design of the heliostat field for solar power tower plantRenewable Energy, 2014
- Campo: Generation of regular heliostat fieldsRenewable Energy, 2012