{"title":"Statistical Genetic Algorithm","authors":"Mohammad Ali Tabarzad, Caro Lucas, Ali Hamzeh","volume":14,"journal":"International Journal of Computer and Information Engineering","pagesStart":483,"pagesEnd":488,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/3717","abstract":"Adaptive Genetic Algorithms extend the Standard Gas\r\nto use dynamic procedures to apply evolutionary operators such as\r\ncrossover, mutation and selection. In this paper, we try to propose a\r\nnew adaptive genetic algorithm, which is based on the statistical\r\ninformation of the population as a guideline to tune its crossover,\r\nselection and mutation operators. This algorithms is called Statistical\r\nGenetic Algorithm and is compared with traditional GA in some\r\nbenchmark problems.","references":"[1] A. Hamzeh, A. Rahmani (2004), Adaptive Crossover in Genetic\r\nAlgorithms using Pattern Based Method. In proceeding of 9-Th\r\nComputer Society of Iran Computer Conference.\r\n[2] A. Hamzeh, A. Rahmani (2005), A New Selection Method for Genetic\r\nAlgorithms based on Genotypic Information of the Population. In\r\nproceedings of 10-The Computer Society of Iran Computer Conference.\r\n[3] S. Yang (2002), Adaptive Crossover in Genetic Algorithms Using\r\nStatistics Mechanism. In Artificial Life VIII, Standish, Abbass, Bedau\r\n(eds)(MIT Press) 2002. pp 182-185.\r\n[4] H. Luchian, O. Gheorghies (2003), Integrated-Adaptive Genetic\r\nAlgorithms, In Proceeding of 7th European Conference on Artificial Life\r\n(ECAL 2003), Dortmund, Germany, September 14-17, 2003.\r\n[5] J. G\u251c\u2502mez, D. Dasgupta, F.A. Gonz\u251c\u00edlez (2003), Using Adaptive\r\nOperators in Genetic Search. In Proceeding of GECCO 2003: 1580-\r\n1581.\r\n[6] J. Gomez, D. Dasgupta (2002), Using Competitive Operators and a\r\nLocal Selection Scheme in Genetic Search. In Late-breaking papers\r\nGECCO 2002, 2002.\r\n[7] F. Herrera, M. Lozano (2003), Fuzzy adaptive genetic algorithms:\r\ndesign, taxonomy, and future directions, In Journal of Soft Computing 7\r\n(2003) 545-562, Springer-Verlag 2003.\r\n[8] Y. Maeda, Q. Li (2005), Parallel Genetic Algorithm with Adaptive\r\nGenetic Parameters Tuned by Fuzzy Reasoning, International Journal of\r\nInnovative Computing, Information and Control Volume 1, Number 1,\r\nMarch 2005 pp 95-107.\r\n[9] M. Mitchell (1996). An Introduction to Genetic Algorithms, The MIT\r\nPress, Cambridge, Massachusetts.\r\n[10] S. Forrest, M. Mitchell (1993), What Makes a Problem Hard for a\r\nGenetic Algorithm? Some Anomalous Results and Their Explanation, In\r\nMachine Learning Journal, Volume 13, Issue 2-3 Nov. \/Dec. Special\r\nissue on genetic algorithms pp: 285-319.\r\n[11] T.Jones, S.Forrest (1995), Fitness distance correlation as a measure of\r\nproblem difficulty for genetic algorithms. In Larry Eshelman, editor,\r\nProceedings of the Sixth International Conference on Genetic\r\nAlgorithms, pages 184-192, San Francisco, CA.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 14, 2008"}