Evolutionary Approaches for the Multi-objective Reservoir Operation Problem
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Fabrício Olivetti de França | Akebo Yamakami | A. Yamakami | P.C.B. Rampazzo | F. O. D. França | Priscila Cristina Berbert Rampazzo | F. O. França
[1] P. Leite,et al. Energetic Operation Planning Using Genetic Algorithms , 2001, IEEE Power Engineering Review.
[2] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[3] Luis A. Scola,et al. Multi-objective optimal reservoir operation , 2010, IEEE Congress on Evolutionary Computation.
[4] Secundino Soares,et al. A second order network flow algorithm for hydrothermal scheduling , 1995 .
[5] Frank T.-C. Tsai,et al. Optimization of Large-Scale Hydropower System Operations , 2003 .
[6] Jong-Bae Park,et al. An improved genetic algorithm for generation expansion planning , 2000 .
[7] Andrzej Osyczka,et al. 7 – Multicriteria optimization for engineering design , 1985 .
[8] Zbigniew Michalewicz,et al. Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .
[9] Kalyanmoy Deb,et al. Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling , 2007, EMO.
[10] V.M.F. Mendes,et al. Scheduling of head-sensitive cascaded hydro systems: A nonlinear approach , 2009, 2009 IEEE Power & Energy Society General Meeting.
[11] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[12] Li-Chiu Chang,et al. Multi-objective evolutionary algorithm for operating parallel reservoir system , 2009 .
[13] S. Soares,et al. Deterministic versus stochastic models for long term hydrothermal scheduling , 2006, 2006 IEEE Power Engineering Society General Meeting.
[14] M. Janga Reddy,et al. Multipurpose Reservoir Operation Using Particle Swarm Optimization , 2007 .
[15] S. M. Shahidehpour,et al. A dynamic programming two-stage algorithm for long-term hydrothermal scheduling of multireservoir systems , 1998 .
[16] Monica de Souza Zambelli,et al. NEWAVE versus ODIN: comparison of stochastic and deterministic models for the long term hydropower scheduling of the interconnected brazilian system , 2011 .
[17] M. E. El-Hawary,et al. Optimal Economic Operation of Electric Power Systems , 2012 .
[18] V. H. Ferreira,et al. Natural optimization applied to medium-term hydrothermal coordination , 2011, 2011 16th International Conference on Intelligent System Applications to Power Systems.
[19] P. K. Chattopadhyay,et al. Fast Evolutionary Progranuning Techniques for Short-Term Hydrothermal Scheduling , 2002, IEEE Power Engineering Review.
[20] Wu Jiekang,et al. Short-term multi-objective optimization scheduling for cascaded hydroelectric plants with dynamic generation flow limit based on EMA and DEA , 2014 .
[21] C.E. Zoumas,et al. A genetic algorithm solution approach to the hydrothermal coordination problem , 2004, IEEE Transactions on Power Systems.
[22] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[23] John W. Labadie,et al. Multiobjective optimization of reservoir systems operation , 1992 .
[24] V. Jothiprakash,et al. Comparison of Policies Derived from Stochastic Dynamic Programming and Genetic Algorithm Models , 2009 .
[25] D. Nagesh Kumar,et al. Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm , 2006 .
[26] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[27] William W.-G. Yeh,et al. A diversified multiobjective GA for optimizing reservoir rule curves , 2007 .
[28] Xia Wei,et al. An Improved Genetic Algorithm-Simulated Annealing Hybrid Algorithm for the Optimization of Multiple Reservoirs , 2008 .