Fusing feasible search space into PSO for multi-objective cascade reservoir optimization-Reference-Cited by-同舟云学术

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Fusing feasible search space into PSO for multi-objective cascade reservoir optimization

Published:2017-02 Issue: Volume:51 Page:328-340
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Bai Tao,Kan Yan-bin,Chang Jian-xia,Huang Qiang,Chang Fi-John

Funder

National Department Public Benefit Research Foundation of Ministry of Water Resources

National Natural Science Foundation of China

Scientific Research Start Fund of Xi’an University of Technology

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Software

Reference45 articles.

1. Large scale reservoir operation by constrained particle swarm optimization algorithms;Afshar;J. Hydro-Environ. Res.,2012

2. A particle swarm algorithm for inspection optimization in serial multi-stage processes;Azadeh;Appl. Math. Model.,2012

3. Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin;Bai;J. Hydrol.,2015

4. Multi-objective optimal operation model of cascade reservoirs and its application on water and sediment regulation;Bai;Water Res. Manage.,2015

5. Solution of optimal reactive power flow using biogeography-based optimization;Bhattacharya;Int. J. Energy Power Eng.,2010

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