Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization-Reference-Cited by-同舟云学术

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Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization

Published:2024-11 Issue: Volume:179 Page:106514
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Liang Yuqing,Yang Yang,Liu Jinlan,Xu Dongpo^ORCID

Publisher

Elsevier BV

Reference69 articles.

1. Multi-mechanism ensemble interior search algorithm to derive optimal hedging rule curves in multi-reservoir systems;Abdollahi;Journal of Hydrology,2021

2. Optimization of fuzzified hedging rules for multipurpose and multireservoir systems;Ahmadianfar;Journal of Hydrologic Engineering,2016

3. Optimizing multiple linear rules for multi-reservoir hydropower systems using an optimization method with an adaptation strategy;Ahmadianfar;Water Resources Management,2019

4. Robust diversity-based sine-cosine algorithm for optimizing hydropower multi-reservoir systems;Ahmadianfar;Water Resources Management,2021

5. Extract nonlinear operating rules of multi-reservoir systems using an efficient optimization method;Ahmadianfar;Scientific Reports,2022

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