- Back , T. The interaction of mutation rate, selection, and self-adaptive within a genetic algorithm . Proceedings of 2nd Conference Parallel Problem Solving from Nature . September 1992 , Amsterdam. Edited by: Manner , R. and Manderick , B. pp. 85 – 94 . North-Holland .
- Back , T. Self-adaptation in genetic algorithms . Proceedings of 1st European Conference on Artificial Life . December 1991 , Cambridge, MA. Edited by: Varela , F. J. and Bourgine , P. pp. 263 – 271 . MIT Press .
- Bäck , T. 1996 . Evolutionary Algorithms in Theory and Practice , New York, NY : Oxford University Press .
- Baglietto , M. Nonlinear approximations for the solution of tarn optimal control problems . Proceedings of the 36th Conference on Decision & Control . December 10-12 1997 , Piscataway, NJ. pp. 4592 – 4594 . Institute of Electrical and Electronic Engineering .
- Davis , L. Adapting operator probabilities in genetic algorithms . Proceeding of 1st Int. Conf. Genetic Algorithms and Their Applications . Hillsdale, NJ. Edited by: Grefenstette , J. J . pp. 61 – 69 . Lawrence Erlbaum .
- Davis , L. 1991 . Handbook of Genetic Algorithms , New York, NY : Van Nostrand Reinhold .
- De Jong , K. 1981 . “ An analysis of the behavior of a class of genetic adaptive systems ” . Ann Arbor, Michigan, , USA : University of Michigan . Ph.D. diss., (University Microfilms No, 76-9381)
- Deng , M. and Ho , Y.C. 1999 . An ordinal optimization approach to optimal control problems . Automatica , 35 : 331 – 338 .
- Eiben , A. E. , Hinterding , R. and Michalewicz , Z. 1999 . Parameter control in evolutionary algorithms . IEEE Transaction on Evolutionary Computation , 3 (2) : 124 – 140 .
- Eshelman , L. J. and Schaffer , J.D. 1993 . “ Real-coded genetic algorithms and interval schemata ” . In Foundation of Genetic Algorithms , Edited by: Whitley , L. Darrell . Vol. 2 , 187 – 202 . San Mateo, CA : Morgan Kaufmann .
- Eugenio , F. C. 1997 . Dynamic optimization of batch reactors using adaptive stochastic algorithms . Industrial & Engineering Chemistry Research , 36 : 2252 – 2261 .
- Feldt , R. and Nordin , P. Using paotorial experiments to evaluate the effect of genetic programming parameter . Proceedings of Genetic Programming, Lectuer Note in Computer Science . April 15-16 2000 , Berlin. Edited by: Poli , S. R. pp. 271 – 282 . Springer .
- Fogarty , T. Varying the probability of mutation in the genetic algorithm . Proceedings of 3rd International Conference on Genetic Algorithms . San Mateo, CA. Edited by: Schaffer , J. D. pp. 104 – 109 . Morgan Kaufmann .
- Goldberg , D. E. and Deb , K. 1991 . A comparative analysis of selection schemes used in genetic algorithms . Foundations of Genetic Algorithms , 1 : 69 – 93 .
- Goldberg , D. E. and Richardsoa , J. Genetic algorithms with sharing for multimodal functionoptimization . Proceedings of 2nd International Conf. Genetic Algorithms . Hillsdale, NJ. Edited by: Grefensette , J. J. pp. 41 – 49 . Lawrence Erlbaum .
- Grefenstette , J. J. 1986 . Optimization of control parameters for genetic algorithms. IEEE Transactions onSystems . Man, and Cybernetics , 16 (1) : 122 – 128 .
- Herrera , F. 1998 . Trackling real-coded genetic algorithms: Operators and tools for behavioural analysis . Artificial Intelligence Review , 12 (4) : 265 – 319 .
- Herrera , F. and Lozano , M. 1996 . “ Physical adaptation of genetic algorithm parameters based on fuzzylogic controllers ” . In Genetic Algorithms and soft computing , Edited by: Herrera , E. and Verdegay , J. L. 95 – 125 . Heidelberg, , Germany : Physica-Verlag .
- Holland , J. H. 1975a . Adaptation in Natural and Artificial Systems: An Introductory Analysis withApplications to Biology, Control, and Artificial intelligence , Ann Arbor, MI : University of Michigan .
- Holland , J. H. 1975b . Adaptation in Natural and Artificial Systems , Cambridge, MA : MIT Press .
- Lee , L. H. , Lau , T. W. E. and Ho , Y. C. 1999 . Explanation of Goal Softening in Ordinal Optimization . IEEETransactions on Automatic Control. , 44 (1) : 1 – 5 .
- Us , J. and Lis , M. Self-adapting parallel genetic algorithm with dynamic mutation probability,crossover rate and population size . Proceedings of 1st Polish National Conf. Evolutionary Computation, Oficina Wydawnica Politechniki Wrszawskiej . Edited by: Arabas , J. pp. 324 – 329 .
- Luus , R. 1995 . Optimal drug scheduling of cancer chemotherapy by direct search optimization . Hung. J.Ind. Chen. , 23 : 55 – 58 .
- Mahfoud , S. W. 1995 . Niching methods for genetic algorithms , Champaign, Illinois, , USA : University of Illinois atUrbana-Champaign . Ph.D. diss.
- Michalewicz , Z. 1992 . Genetic Algorithms + Data Structures =Evolution Programs , New York, NY : Springer-Verlag .
- Montgomery , D. C. 1999 . Applied Statistics and Probability for Engineers , New-York, NY : John Wiley &Sons, Inc .
- Pedroso , J. P. Niche search: an evolutionary algorithm for global optimisation . Proceedings 4th Conf Parallel Problem Solving from Nature . September 22-26 1996 , Berlin, Germany. Edited by: Voight , H. pp. 430 – 440 . Lecture Notes in Computer Science 1141
- Potts , J. C. 1994 . The development and evaluation of an improved genetic algorithm based on migrationand artificial selection IEEE Transactions on Systems . Man and Cybernetics , 24 (1) : 73 – 85 .
- Qi , X. and Palmieri , F. 1994 . Theoretical analysis of evolutionary algorithms with an infinite populationsize in continuous space . IEEE Transactions on Neural Networks , 5 (1) : 102 – 119 .
- Radcliffe , N. J. 1991 . Equivalence class analysis of genetic algorithms . Complex Systems , 5 (2) : 183 – 205 .
- Rory , M. 1992 . Optimal control of drug scheduling of cancer chemotherapy . Automatica , 28 : 113 – 123 .
- Rory , M. and Teo , K.L. 1994 . Optimal control of drug administration in cancer chemotherapy , Singapore : World Scientific .
- Schütz , M. and Schwefel , H. 2000 . Evolutionary approaches to solve three challenging engineering tasks . Computer Methods in Applied Mechanics and Engineering , 186 : 141 – 170 .
- Srinivas , M. and Patnaik , L.M. 1994 . Adaptive probabilities of crossover and mutation in geneticalgorithms. IEEE Transactions on Systems . Man and Cybernetics , 24 (4) : 656 – 666 .
- Syswerda , G. 1991 . “ Schedule optimization using genetic algorithms ” . In Handbook of GeneticAlgorithms , Edited by: Davis , L. 332 – 349 . New York, NY : Van Nostrand Reinhold .
- Turne , T. A. Obtaining multiple distinct solutions with genetic algorithm niching methods . Proceedings of 4th Conf. Parallel Problem Solving from Nature . September 22-26 1996 , Berlin, Germany. Edited by: Voight , H. pp. 451 – 460 . Springer . Lecture Notes inComputer Science, 1141
- Wolpert , D. H. and Macready , W.G. 1997 . No free lunch theorems for optimization . IEEE Transactionson Evolutionary Computation , 1 (1) : 67 – 82 .
- Wright , A. 1991 . “ Genetic algorithms for real parameter optimization ” . In Foundationsof Genetic Algorithms , Edited by: Rawlin , G. J. E. Vol. 1 , 205 – 218 . San Mateo, CA : Morgan Kaufmann .
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