Applications of multi-objective dimension-based firefly algorithm to optimize the power losses, emission, and cost in power systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Applications of multi-objective dimension-based firefly algorithm to optimize the power losses, emission, and cost in power systems

Published:2018-07 Issue: Volume:68 Page:322-342
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Gonggui,Yi Xingting,Zhang Zhizhong,Wang Huiming

Funder

Innovation Team Program of Chongqing Education Committee

Chongqing University Innovation Team

Foundation of Chongqing University of Posts and Telecommunications

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference60 articles.

1. Modified differential evolution algorithm for optimal power flow with non-smooth cost functions;Sayah;Energy Convers. Manage.,2008

2. Polyphyletic migration operator and orthogonal learning aided biogeography-based optimization for dynamic economic dispatch with valve-point effects;Xiong;Energy Convers. Manage.,2014

3. Optimal power flow using moth swarm algorithm;Mohamed;Electr. Power Syst. Res.,2017

4. Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm;Ghasemi;Inf. Sci.,2015

5. Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: a comparative study;Ghasemi;Inf. Sci.,2014

Cited by 69 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. Two-stage coevolutionary constrained multi-objective optimization algorithm for solving optimal power flow problems with wind power and FACTS devices;Renewable Energy;2024-10

2. State-of-the-art and real-time implementation of an IoT-based home energy management system for a cluster of dwellings;Heliyon;2024-08

3. Multi Criteria Frameworks Using New Meta-Heuristic Optimization Techniques for Solving Multi-Objective Optimal Power Flow Problems;Energies;2024-05-04

4. Improved Differential Evolution Algorithm to solve multi-objective of optimal power flow problem;Archives of Electrical Engineering;2024-01-02

5. Optimal Power Flow Using Moth-Flame Optimizer Implementation;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3