Application of modified pigeon-inspired optimization algorithm and constraint-objective sorting rule on multi-objective optimal power flow problem-Reference-Cited by-同舟云学术

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Application of modified pigeon-inspired optimization algorithm and constraint-objective sorting rule on multi-objective optimal power flow problem

Published:2020-07 Issue: Volume:92 Page:106321
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Gonggui,Qian Jie,Zhang Zhizhong,Li Shuaiyong

Funder

National Natural Science Foundation Project of China

Natural Science Foundation Project of Chongqing, China

Innovation Team Program of Chongqing Education Committee, China

Chongqing University Innovation Team, China

Publisher

Elsevier BV

Subject

Software

Reference46 articles.

1. Design of fuzzy sliding mode controller for hydraulic turbine regulating system via input state feedback linearization method;Yuan;Energy,2015

2. Optimal reactive power dispatch by improved GSA-based algorithm with the novel strategies to handle constraints;Chen;Appl. Soft Comput.,2017

3. Multi-objective optimization of the environmental-economic dispatch with reinforcement learning based on non-dominated sorting genetic algorithm;Cardoso Bora;Appl. Therm. Eng.,2019

4. An efficient chaos embedded hybrid approach for hydro-thermal unit commitment problem;Yuan;Energy Convers. Manage.,2015

5. Multi-objective optimal power flow based on improved strength Pareto evolutionary algorithm;Yuan;Energy,2017

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