A deterministic annular crossover genetic algorithm optimisation for the unit commitment problem

Expert Systems with Applications

Volumn 38, Issue 6, 2011, Pages 6523-6529

  Pavez Lazo, Boris ^a   Soto Cartes, Jessica ^a  

^a UNIVERSIDAD DE LA FRONTERA   (Chile)

Author keywords

Annular crossover; Deterministic selection; Genetic algorithm; Unit commitment

Indexed keywords

ANNULAR CROSSOVER; CROSSOVER OPERATOR; DETERMINISTIC SELECTION; GENETIC INFORMATION; GENETIC OPERATORS; LOW PROBABILITY; OPTIMISATIONS; PREMATURE CONVERGENCE; SELECTION OPERATORS; UNIT COMMITMENT; UNIT COMMITMENT PROBLEM;

CHROMOSOMES; GENE ENCODING; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; PROBABILISTIC LOGICS;

CONVERGENCE OF NUMERICAL METHODS;

EID: 79951579702     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.11.089     Document Type: Article

References (30)

1. J.M. Arroyo, and A.J. Conejo A parallel repair genetic algorithm to solve the unit commitment problem IEEE Electrical Power Energy Systems 17 4 2002 1216 1224
2. A.V.T. Aruldoss, and J.A. Ebenezer A tabu search based hybrid optimization approach for a fuzzy modelled unit commitment problem Electric Power System Research 76 2006 413 425
3. M. Carrión, and J.M. Arroyo A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem IEEE Transactions on Power Systems 21 3 2006 1371 1378 (Pubitemid 44263531)
4. I.G. Damousis, A.G. Bakirtzis, and P.S. Dokopolous A solution to the unit commitment using integer-coded genetic algorithm IEEE Transactions on Power Systems 19 2004 1165 1172
5. C. Dang, and M. Li A floating-point genetic algorithm for solving the unit commitment problem European Journal of Operational Research 181 2007 1370 1395 (Pubitemid 46498534)
6. G. Dudek Unit commitment by genetic algorithm with specialized search operators Electric Power Systems Research 72 2004 299 308
7. A. Frangioni, C. Gentile, and F. Lacalandra Tighter approximated MILP formulations for unit commitment problems IEEE Transactions on Power Systems 24 1 2009 105 113
8. A. Kuri An alternative model of genetic algorithms as learning machines Expert Systems with Applications 15 1998 351 356 (Pubitemid 128422954)
9. A. Kuri Pattern Recognition via vasconcelos genetic algorithm Lecture Notes in Computer Science. 3287 2004 328 335
10. T. Lee, and C. Chen Unit commitment with probabilistic reserve: An IPSO approach Energy Conversion and Management 48 2007 486 493 (Pubitemid 46027315)
11. A.H. Mantawy, Y.L. Abdel-Magid, and S.Z. Selim A simulated annealing algorithm for unit commitment IEEE Transactions on Power Systems 13 1 1998 197 204 (Pubitemid 128748858)
12. W. Ongsakul, and N. Pertcharaks Unit commitment by enhanced adaptive Lagrangian relaxation IEEE Transactions on Power Systems 19 1 2004 620 628
13. Z. Ouyang, and S.M. Shahidehpour An intelligent dynamic programming for unit commitment application IEEE Transaction on Power Systems 6 3 1991 1203 1209 (Pubitemid 21690167)
14. N.P. Padhy Unit commitment using hybrid models: A comparative study for dynamic programming, expert system, fuzzy system and genetic algorithms International Journal of Electrical Power and Energy Systems 23 2001 827 836 (Pubitemid 32776152)
15. N.P. Padhy Unit commitment - A bibliographical survey IEEE Transactions on Power Systems 19 2 2004 1196 1205
16. S. Patra, S.K. Goswami, and B. Goswami Fuzzy and simulated annealing based dynamic programming for the unit commitment problem Expert Systems with Applications 36 2009 5081 5086
17. G.K. Purushothama, and L. Jenkins Simulated annealing with local search - A hybrid algorithm for unit commitment IEEE Transactions on Power Systems 18 1 2003 273 278
18. A. Rong, H. Hakonen, and R. Lahdelma A dynamic regrouping based sequential dynamic programming algorithm for unit commitment of combined heat and power systems Energy Conversion and Management 50 2009 1108 1115
19. A.Y. Saber, T. Senjyu, T. Miyagi, N. Urasaki, and T. Funabashi Unit commitment by heuristic and absolutely stochastic simulating annealing IEE Generation Transmission Distribution 1 2 2007 234 243 (Pubitemid 46582790)
20. T. Senjyu, K. Shimabukuro, K. Uezato, and T. Funabashi A fast technique for unit commitment problem by extended priority list IEEE Transaction on Power Systems 18 2 2003 882 888
21. T. Senjyu, T. Miyagi, A.Y. Saber, N. Urasaki, and T. Funabashi Emerging solution of large-scale unit commitment problem by stochastic priority list Electrical Power and Energy Systems 76 2006 283 292 (Pubitemid 43144638)
22. D.N. Simopoulus, S.D. Kavatza, and C.D. Vournas Unit commitment by enhanced simulating annealing algorithm IEEE, Transaction on Power Systems 21 2006 68 76 (Pubitemid 43204704)
23. L. Sun, Y. Zhang, and C. Jiang A matrix real-coded genetic algorithm to the unit commitment problem Electric Power Systems Research 76 2006 716 728
24. K.S. Swarup, and S. Yamashiro Unit commitment solution methodology using genetic algorithm IEEE Transactions on Power Systems 17 2002 87 91 (Pubitemid 34255075)
25. H.Y. Yamin Review on methods of generation scheduling in electric power systems Electric Power Systems Research 69 2004 227 248
26. S.W. Yin-Wa Hybrid simulated annealing/genetic algorithm approach to short-term hydro-thermal scheduling with multiple thermal plants International Journal of Electrical Power and Energy Systems 23 7 2001 565 575
27. X. Yuan, H. Nie, A. Su, L. Wang, and Y. Yuan An improved binary particle swarm optimization for unit commitment problem Expert Systems with Applications 36 2009 8049 8055
28. Q. Zhai, X. Guan, and J. Cui Unit commitment with identical units: Successive subproblem solving method based on Lagrangian relaxation IEEE Transactions on Power Systems 17 2002 1250 1257
29. Zhai, Q.; Guan, X.; Yang, J. (2009). Fast unit commitment based on optimal linear approximation to nonlinear fuel cost: Error analysis and applications. Electrical Power and Energy Systems. doi:10.1016/j.eprs.2009.06. 05.
30. F. Zhuang, and F.D. Galiana Unit commitment by simulated annealing IEEE Transactions on Power Systems 5 1 1990 311 318 (Pubitemid 20666096)