A floating-point genetic algorithm for solving the unit commitment problem-Reference-Cited by-同舟云学术

A floating-point genetic algorithm for solving the unit commitment problem

Published:2007-09 Issue:3 Volume:181 Page:1370-1395
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Dang Chuangyin,Li Minqiang

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference48 articles.

1. Power Generation, Operation & Control;Wood,1996

2. Towards a more rigorous and practical unit commitment by Lagrangian relaxation;Zhuang;IEEE Transactions on Power Systems,1988

3. Short-term thermal unit commitment-a new method;Lee;IEEE Transactions on Power Systems,1988

4. Unit commitment in power generation – a basic model and some extentions;Gollmer;Annals of Operations Research,2000

5. Unit commitment – a bibliographical survey;Prasad Padhy;IEEE Transactions on Power Systems,2004

Cited by 38 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. Polarization control parameters evolution of genetic algorithm‐based 2 µm Tm‐doped fiber laser;Microwave and Optical Technology Letters;2024-04-24

2. Unit Commitment Considering Electric Vehicles and Renewable Energy Integration—A CMAES Approach;Sustainability;2024-01-25

3. Grid Integration of Renewable Energy;Evolutionary Economics and Social Complexity Science;2023-11-21

4. Search Space Reduction for the Thermal Unit Commitment Problem through a Relevance Matrix;Energies;2022-09-28

5. A Polynomial-Time Algorithm with Tight Error Bounds for Single-Period Unit Commitment Problem;Journal of the Operations Research Society of China;2022-01-28