张景瑞助理教授
  研究方向：电力系统优化调度，微电网能量管理，群体智能算法
  系别：仪器与电气系
  联系电话：
  电子邮箱：zjrhust@163.com

A Hybrid   Particle Swarm Optimization with Small Population Size to Solve the Optimal   Short-Term Hydro-Thermal Unit Commitment Problem,Energy	SCI/EI待收录（JA）    4.844	一区DOI:10.1016/j.energy.2016.05.057	1 是
A modified   chaotic differential evolution algorithm for short-term optimal hydrothermal   scheduling,International Journal of    Electrical Power & Energy Systems,65,159-168,2015-02-28	SCI/EI（JA）  2.630	二区（2012）SCI:WOS:000346541900018  EI:20144500165788	1 是
A modified   MOEA/D approach to the solution of multi-objective optimal power flow   problem,Applied Soft Computing	SCI/EI（JA）  2.810（待发表）	二区doi:10.1016/j.asoc.2016.06.022	1 是
Short-term   hydrothermal scheduling considering valve point effect using acceleration-based   PSO algorithm,International Journal of Power and Energy   Systems,33,2,45-53,2013-05-14	EI收录（JA）	20133116570363	1 是
An improved   differential evolution approach for short-term hydrothermal   scheduling,Journal of Information and Computational   Science,12,5,1817-1829,2015-03-20	EI收录（JA）	20151500723732	1 否
An improved   particle swarm optimization approach for unit commitment problem,Open   Automation and Control Systems Journal,6,1,629-636,2014-12-31	EI收录（JA）	20151500738642	2 是
A   small-population based binary PSO approach for unit commitment   problem,Journal of Information and Computational   Science,12,9,3599-3610,2015-06-10	EI收录（JA）	20152801011055	2 是

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