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Optimal reactive power dispatch with wind power integrated using group search optimizer with intraspecific competition and le´vy walk被引量：6
《Journal of Modern Power Systems and Clean Energy》2014年第4期308-318,共11页Yuanzheng LI Mengshi LI Qinghua WU 
The work is funded by Guangdong Innovative Research Team Program(No.201001N0104744201);National Key Basic Research and Development Program(973 Program,No.2012CB215100),China;The first author thanks for the financial support from China Scholarship Council Program(No.201306150070).
This paper presents the mean–variance(MV)model to solve power system reactive power dispatch problems with wind power integrated.The MV model considers the profit and risk simultaneously under the uncertain wind powe...
关键词：Mean-variance model Reactive power dispatch Wind power Group search optimizer with intraspecific competition and le´vy walk(GSOICLW) 
Pigeon-inspired optimization:a new swarm intelligence optimizer for air robot path planning被引量：71
《International Journal of Intelligent Computing and Cybernetics》2014年第1期24-37,共14页Haibin Duan Peixin Qiao 
Natural Science Foundation of China(NSFC)under grant no.61333004,no.61273054 and no.60975072;National Key Basic Research Program of China(973 Project)under grant no.2014CB046401;Top-Notch Young Talents Program of China,and Aeronautical Foundation of China under grant no.20135851042.
Purpose–The purpose of this paper is to present a novel swarm intelligence optimizer—pigeoninspired optimization(PIO)—and describe how this algorithm was applied to solve air robot path planning problems.Design/me...
关键词：Evolutionary computation ROBOTICS 
Binary particle swarm optimization with multiple evolutionary strategies被引量：5
《Science China(Information Sciences)》2012年第11期2485-2494,共10页ZHAO Jing HAN ChongZhao WEI Bin 
supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 60921003);National Basic Research Program of China (Grant No. 2007CB311006);National Natural Science Foundation of China (Grant No. 61074176)
This paper introduces a novel variation of binary particle swarm optimization （BPSO） algorithm and a further extension to improve its performance. Firstly, mimicking the behaviors of some creatures group, multiple e...
关键词：binary particle swarm optimizer evolutionary strategies swarm intelligence 
Comprehensive Learning Multi-Objective Particle Swarm Optimizer for Crossing Waypoints Location in Air Route Network被引量：11
《Chinese Journal of Electronics》2011年第3期533-538,共6页ZHOU Chi ZHANG Xuejun CAI Kaiquan ZHANG Jun 
This work is supported by the National Basic Research Program of China （No.2011CB707000）, Foundation for Innovative Research Groups of the National Natural Science Foundation of China （No.60921001）, National Science Foundation for Distinguished Young Scholars of China （No.60625102）.
The optimization of national Air route network （ARN） has become an effective method to improve the safety and efficiency of air transportation. The Crossing waypoints location （CWL） problem is a crucial problem in...
关键词：Air route network Crossing waypointslocation Multi-objective optimization. 
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