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Improving the Genetic Algorithm's Performance when Using Transformation

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Year 2015 : 1 citations

 Bravo, Y., Luque, G., & Alba, E. (2015). Global memory schemes for dynamic optimization. Natural Computing, 1-15.

Year 2014 : 2 citations

 Palanisamy, V. (2014). Enhanced Technique To Improve The Performance of Genetic Algorithm. Australian Journal of Basic and Applied Sciences, 8(17), 447-453.

 Lakshmi, R., & Vivekanandan, K. (2014). A Novel Methodology for Genetic Algorithms in Crossover Operation: Segment Replacement Operator. International Journal of Innovative Research and Development, 3(1).

Year 2013 : 1 citations

 Wuhui Hong, Qian Shu, Qu Xuzhi Dan (2013). Clonal selection immune genetic algorithm for high dimensional 0/1 knapsack problem applications, Computer Applications, Number 3, pp. 845-848, 2013.

Year 2011 : 2 citations

 S. Siva Sathya, S. Kuppuswami (2011). Gene silencing—A genetic operator for constrained optimization. Applied Soft Computing, Volume 11, Issue 8, pp. 5801–5808, Elsevier 2011.

 S. Siva Sathya, S. Kuppuswami, S. Sendhil Kumar (2011). Gene Silencing Genetic Algorithm for 0/1 Knapsack with Object Preferences. International Journal of Computational Intelligence Systems, Volume 4, Issue 5, pp. 886-893, Taylor&Francis;, 2011.

Year 2010 : 1 citations

 Deng Chang-shou, Angle modulation differential evolution with dual population for high dimension 0-1 knapsack problem. Computer Engineering and Applications, 2010, 46 (24), pp. 45-47, 2010.

Year 2009 : 1 citations

 Z. Zhang, S. Qian (2009). Immune algorithm with antibody"repaired and its application for high"dimensional 0/ 1 knapsack problem. ApplicationResearch ofComputer, number 8, vol 26, pp. 2921 - 2939.

Year 2008 : 2 citations

 Shengxiang Yang (2008). "Genetic Algorithms with Memory and Elitism-Based Immigrants in Dynamic Environments?. Evolutionary Computation, Vol. 16, No. 3, pp. 385-416, MIT Press, Fall 2008.

 Shengxiang Yang, X. Yao (2008). "Population-based incremental learning with associative memory for dynamic environments?. IEEE Transactions on Evolutionary Computation, 12(5): 542-561, IEEE Press, October 2008.

Year 2007 : 1 citations

 B. Dilimulati, I. Bruha (2007). Genetic Algorithms in a dynamically changing environment. Data Mining VIII: Data, Text and Web Mining and their Business Applications. Transaction: Information and Communication Technologies volume 38, WitPress, 2007.

Year 2006 : 1 citations

 Shengxiang Yang (2006), "A Comparative Study of Immune System Based Genetic Algorithms in Dynamic Environments?, Proceedings of the 8th annual conference on Genetic and Evolutionary Computation (GECCO 2006), pp 1377"1384, Seattle, Washington, USA, 2006.