A novel space contraction based on evolutionary strategy for economic dispatch-Reference-Cited by-同舟云学术

A novel space contraction based on evolutionary strategy for economic dispatch

Published:2022-02 Issue: Volume:237 Page:107743
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Xu WangYing,Yu Xiaobing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference82 articles.

1. Evaluating fuel consumption factor for energy conservation and carbon neutral on an industrial thermal power unit;Zeng;Energy,2021

2. Economic dispatch using chaotic bat algorithm;Adarsh;Energy,2016

3. An efficient new hybrid ICA-PSO approach for solving large scale non-convex multi area economic dispatch problems;Chen;J. Electr. Eng. Technol.,2020

4. Optimal power flow using particle swarm optimization;Abido;Int. J. Electr. Power Energy Syst.,2002

5. Optimal reactive power dispatch;Wang,2012

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources;Applied Intelligence;2024-06-25

2. An inverse reinforcement learning framework with the Q-learning mechanism for the metaheuristic algorithm;Knowledge-Based Systems;2023-04

3. Reinforcement learning-based modified cuckoo search algorithm for economic dispatch problems;Knowledge-Based Systems;2022-12

4. Constrained multi-objective differential evolution algorithm with ranking mutation operator;Expert Systems with Applications;2022-12

5. Improved SNS algorithm with high exploitative strategy for dynamic combined heat and power dispatch in co-generation systems;Energy Reports;2022-11