Kamioka T,Kamioka T,Uchibe E,et al．Multiobjective reinforcement learning based on multiple value functions[J]．IEIC Technical Report (Institute of Electronics,Information and Communication Engineers), 2006,105(658)：127-132.
[2]
Mariano C,Morales E．A new distributed reinforcement learning algorithm for multiple objective optimization problems[M]//Berlin：Springer Berlin Heidelberg,2000：290-299．
[3]
Mariano C E,Morales E F．Distributed reinforcement learning for multiple objective optimization problems[C]// Proceedings of the 2000 Congress on Evolutionary Computation．La Jolla,CA：IEEE：2000：188-195．
[4]
赵昀．有关强化学习的若干问题研究[D]．南京：南京理工大学,2009．Zhao Yun．For a number of issues of reinforcement learning[D]．Nanjing：Nanjing University of Science,2009(in Chinese)．
[5]
Zitzler E,Deb K,Thiele L．Comparison of multiobjective evolutionary algorithms：empirical results[J]．Evolutionary Computation,2000,8(2)：173-195．
[6]
Das I,Dennis J E．Normal-boundary intersection： a new method for generating the Pareto surface in nonlinear multicriteria optimization problems[J]．SIAM Journal on Optimization,1998,8(3)：631-657．
[7]
Roman C,Rosehart W．Evenly distributed Pareto points in multi-objective optimal power flow[J]．IEEE Transactions on Power Systems,2006,21(2)：1011-1012．
[8]
熊宁,程浩忠,马则良,等．发电机出力成本与负荷裕度置换度指标的NBI 求解方法[J]．电力系统自动化,2010,34(5)：34-37．Xiong Ning,,Chen Haozhong,Ma Zeliang,et al．The determination of substitute degree between generation cost and loading margin based on NBI method[J]．Automation of Electric Power Systems,2010,34(5)：34-37(in Chinese)．
[9]
郭庆来,孙宏斌,张伯明,等．协调二级电压控制的研究[J]．电力系统自动化,2005,29(23)：19-24．Guo Qinglai,Sun Hongbin,Zhang Boming,et al．Study on coordinated secondary voltage control[J]．Automation of Electric Power Systems,2005,23(29)：19-24(in Chinese)．
[10]
张安安,杨洪耕．基于ε-支配域的模糊多目标无功优化方法[J]．电力系统自动化,2009,33(5)：34-39．Zhang Anan,Yang Honggeng．A new ε-domination based fuzzy multi-objective reactive power optimization approach[J]．Automation of Electric Power Systems,2009,33(5)：34-39(in Chinese)．
[11]
Konak A,Coit D W,Smith A E．Multi-objective optimization using genetic algorithms：a tutorial[J]．Reliability Engineering & System Safety,2006,91(9)：992-1007．
[12]
Bui L T. Multi-objective optimization in computational intelligence： theory and practice[M]．Information Science Reference,2008．
[13]
Zhang Q,Li H．MOEA/D：A multiobjective evolutionary algorithm based on decomposition[J]．IEEE Transactions on Evolutionary Computation,2007,11(6)：712-731．
[14]
H L Liao,Q H Wu,L Jiang．Multi-objective optimization by reinforcement learning for power system dispatch and voltage stability[C]//Innovative Smart Grid Technologies Conference Europe (ISGT Europe)．Gothenburg：IEEE,2010：1-8．
[15]
Barraclough D J,Conroy M L,Lee D．Prefrontal cortex and decision making in a mixed-strategy game[J]．Nature Neuroscience,2004,7(4)：404-410．
[16]
Fu Wai-Tat,Anderson John R．From recurrent choice to skill learning：a reinforcement-learning model[J]．Journal of Experimental Psychology：General,2006,135(2)：184-206．
[17]
Sutton R S,Barto A G．Reinforcement learning：an introduction[M]．Cambridge：MIT press,1998．
[18]
Nouri M A,Hesami A,Seifi A．Reactive power planning in Distribution Systems using a reinforcement learning method[C]//IEEE International Conference on Intelligent and Advanced Systems．Kuala Lumpur：IEEE,2007：157-161．
