CISUC - Parametric Study to Enhance the Genetic Algorithm's Performance when Using Transformation
CISUC

Parametric Study to Enhance the Genetic Algorithm's Performance when Using Transformation

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Year 2015 : 1 citations

 Gouvêa Jr, M. M., & Araújo, A. F. (2015). Evolutionary Algorithm with Diversity-Reference Adaptive Control in Dynamic Environments. International Journal on Artificial Intelligence Tools, 24(01), 1450013.

Year 2011 : 1 citations

 Terki Amel (2011). Analyse des performances des algorithmes génétiques utilisant différentes techniques d’évolution de la population. Mémoire Présenté pour obtenir le diplôme de Magister En Electronique, Université Mentouri Constantine, 2011.

Year 2008 : 1 citations

 Borenstein Yossi (2008), "Problem Hardness for Randomized Search Heuristics with Comparison-Based Selection: A Focus on Evolutionary Algorithms?. PhD Thesis, Department of Computer Science, University of Essex, June 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 2005 : 3 citations

 Borenstein Yossi, Ricardo Poli (2005), "Information Landscapes and the Analysis of Search Algorithms?, In H. "G Beyer et al (eds), Proceedings of the 2005 Genetic and Evolutionary Computation Conference (GECCO"2005), pp 1287-1294, Washington DC, USA, 25-29 June, ACM Press, 2005.

 Borenstein Yossi, Ricardo Poli (2005), "Information and Performance Landscapes?, Technical Report CSM-440, ISSN: 1744-8050, University of Essex, 2005.

 Pei-Chann Chang, , Shih-Hsin Chen and Kun-Lin Lin (2005), "Two-phase sub population genetic algorithm for parallel machine-scheduling problem?, Expert Systems with Applications , Volume 29, Issue 3 , October 2005, Pages 705-712, 2005.

Year 2003 : 2 citations

 Carsten Wilks, Thomas Schieder, and Rolf Eckmiller, Towards a Tactile Communication System with Dialog-based Tuning, International Joint conference on Neural Networks, IJCNN-2003, 2003, Portland, Oregon, USA. IJCNN2003. Piscataway, NJ, USA: IEEE, 2003.

 B. T. Luke (2003). Genetic Algorithms and Beyond. In Nature-Inspired Methods in Chemometrics, Riccardo Leardi (Editor), pp. 3-48, Data Handling in Science and Technology, Elsevier, 2003.