Radial movement optimization (RMO) technique for solving unit commitment problem in power systems
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[1] Kit Po Wong,et al. An Advanced Quantum-Inspired Evolutionary Algorithm for Unit Commitment , 2011, IEEE Transactions on Power Systems.
[2] Arthur I. Cohen,et al. A Branch-and-Bound Algorithm for Unit Commitment , 1983, IEEE Transactions on Power Apparatus and Systems.
[3] Chuangxin Guo,et al. An improved particle swarm optimization algorithm for unit commitment , 2006 .
[4] Jong-Bae Park,et al. A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems , 2010, IEEE Transactions on Power Systems.
[5] T. Chow,et al. Binary neighbourhood field optimisation for unit commitment problems , 2013 .
[6] Boris Pavez-Lazo,et al. A deterministic annular crossover genetic algorithm optimisation for the unit commitment problem , 2011, Expert Syst. Appl..
[7] Thillainathan Logenthiran,et al. Lagrangian relaxation hybrid with evolutionary algorithm for short-term generation scheduling , 2015 .
[8] Hao Tian,et al. A new approach for unit commitment problem via binary gravitational search algorithm , 2014, Appl. Soft Comput..
[9] J. Jian,et al. Tighter relaxation method for unit commitment based on second-order cone programming and valid inequalities , 2014 .
[10] Y. Pourjamal,et al. HSA based solution to the UC problem , 2013 .
[11] Narayana Prasad Padhy,et al. Binary real coded firefly algorithm for solving unit commitment problem , 2013, Inf. Sci..
[12] B. Vahidi,et al. A Solution to the Unit Commitment Problem Using Imperialistic Competition Algorithm , 2012, IEEE Transactions on Power Systems.
[13] Po-Hung Chen,et al. Two-Level Hierarchical Approach to Unit Commitment Using Expert System and Elite PSO , 2012, IEEE Transactions on Power Systems.
[14] Rubiyah Yusof,et al. A new simple, fast and efficient algorithm for global optimization over continuous search-space problems: Radial Movement Optimization , 2014, Appl. Math. Comput..
[15] Sleiman Mhanna,et al. Application of semidefinite programming relaxation and selective pruning to the unit commitment problem , 2012 .
[16] Xueqing Zhang,et al. Unit commitment using Lagrangian relaxation and particle swarm optimization , 2014 .
[17] Narayana Prasad Padhy,et al. Thermal unit commitment using binary/real coded artificial bee colony algorithm , 2012 .
[18] L. Lakshminarasimman,et al. Modified radial movement optimization (MRMO) technique for estimating the parameters of fuel cost function in thermal power plants , 2016 .
[19] B. Vahidi,et al. Bacterial Foraging-Based Solution to the Unit-Commitment Problem , 2009, IEEE Transactions on Power Systems.
[20] Seema Singh,et al. Advanced three-stage pseudo-inspired weight-improved crazy particle swarm optimization for unit commitment problem , 2016 .
[21] D. P. Kothari,et al. Unit commitment problem solution using invasive weed optimization algorithm , 2014 .
[22] Farid Benhamida,et al. Enhanced Lagrangian relaxation solution to the generation scheduling problem , 2010 .
[23] Provas Kumar Roy,et al. Solution of unit commitment problem using gravitational search algorithm , 2013 .
[24] Anastasios G. Bakirtzis,et al. A genetic algorithm solution to the unit commitment problem , 1996 .
[25] F. Aminifar,et al. A Novel Straightforward Unit Commitment Method for Large-Scale Power Systems , 2007, IEEE Transactions on Power Systems.
[26] Grzegorz Dudek,et al. Genetic algorithm with binary representation of generating unit start-up and shut-down times for the unit commitment problem , 2013, Expert Syst. Appl..
[27] Jong-Bae Park,et al. A Thermal Unit Commitment Approach Using an Improved Quantum Evolutionary Algorithm , 2009 .
[28] Dilip Datta,et al. A binary-real-coded differential evolution for unit commitment problem , 2012 .
[29] Ana Viana,et al. A new MILP based approach for unit commitment in power production planning , 2013 .
[30] Wu Yuan-Kang,et al. Resolution of the unit commitment problems by using the hybrid Taguchi-ant colony system algorithm , 2013 .
[31] Sohrab Khanmohammadi,et al. A primary unit commitment approach with a modification process , 2013, Appl. Soft Comput..
[32] Tomonobu Senjyu,et al. A fast technique for unit commitment problem by extended priority list , 2003 .
[33] D. P. Kothari,et al. A solution to the unit commitment problem—a review , 2013 .
[34] W. J. Hobbs,et al. An enhanced dynamic programming approach for unit commitment , 1988 .
[35] Tomonobu Senjyu,et al. Emerging solution of large-scale unit commitment problem by Stochastic Priority List , 2006 .
[36] K. Vaisakh,et al. Evolving ant colony optimization based unit commitment , 2011, Appl. Soft Comput..
[37] João Pedro Pedroso,et al. Metaheuristic search based methods for unit commitment , 2014 .
[38] S. Subramanian,et al. Applications of Differential Evolution in Power System Optimization , 2008 .
[39] Weerakorn Ongsakul,et al. Augmented Lagrange Hopfield network based Lagrangian relaxation for unit commitment , 2011 .
[40] A. Bakirtzis,et al. A solution to the unit-commitment problem using integer-coded genetic algorithm , 2004, IEEE Transactions on Power Systems.
[41] S. Bukhari,et al. A ring crossover genetic algorithm for the unit commitment problem , 2016 .
[42] Sohrab Khanmohammadi,et al. A new three-stage method for solving unit commitment problem , 2010 .
[43] T. Niknam,et al. A new decomposition approach for the thermal unit commitment problem , 2009 .
[44] T. Senjyu,et al. Unit commitment strategy of thermal generators by using advanced fuzzy controlled binary particle swarm optimization algorithm , 2012 .
[45] Malihe M. Farsangi,et al. Solving unit commitment problem by a binary shuffled frog leaping algorithm , 2014 .