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MC-SC2 Publications about: genetic algorithm
Articles in journal or book chapters
  1. H. Wang, S. Kwong, Y. Jin, W. Wei, and K. Man. Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems, 149(1):149-186, 2005. Keyword(s): interpretability, hierarchical chromosome formulation, fuzzy rule base simplification, multi-objective decision making, recursive least square method. [bibtex-entry]

  2. S. Sohn and C. Dagli. Ensemble of Evolving Neural Networks in Classification. Neural Processing Letters, 19(3):191-203, 2004. Keyword(s): classification, combining classifiers, data mining, genetic algorithm, neural networks. [bibtex-entry]

  3. J. Abonyi, J. Roubos, and F. Szeifert. Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. International Journal of Approximate Reasoning, 32(1):1-21, 2003. Keyword(s): classification, fuzzy classifier, decision tree, genetic algorithm, model reduction. [bibtex-entry]

  4. Y.-C. Hu, R.-S. Chen, and G.-H. Tzeng. Finding fuzzy classification rules using data mining techniques. Pattern Recognition Letters, 24:509-519, 2003. Keyword(s): data mining, fuzzy sets, classification, genetic algorithm. [bibtex-entry]

  5. J. Roubos, M. Setnes, and J. Abonyi. Learning fuzzy classification rules from labeled data. Information Sciences: An International Journal, 150(1-2):77-93, 2003. Keyword(s): compact fuzzy classifier, linguistic model, genetic algorithm, similarity-driven rule-base reduction, wine data. [bibtex-entry]

  6. E. Kim, W. Kim, and Y. Lee. Combination of multiple classifiers for the customer's purchase behavior prediction. Decision Support Systems, 34:167-175, 2002. Keyword(s): purchase behavior prediction, multiple classifiers, combination, genetic algorithm. [bibtex-entry]

  7. A. Nola, V. Loia, and A. Staiano. An evolutionary approach to spatial fuzzy c-means clustering. Fuzzy Optimization and Decision Making, 1:195-219, 2002. Keyword(s): clustering algorithm, fuzzy c-means, fuzzy sets, genetic algorithm, Java language. [bibtex-entry]

  8. K.-S. Shin and Y.-J. Lee. A genetic algorithm application in bankruptcy prediction modeling. Expert Systems with Applications: An International Journal, 23(3):321-328, 2002. Keyword(s): genetic algorithm, rule extraction, bankruptcy prediction. [bibtex-entry]

  9. H. Ishibuchi, T. Nakashima, and T. Murata. Three-objective genetics-based machine learning for linguistic rule extraction. Information Sciences: An International Journal, 136:109-133, 2001. Keyword(s): pattern classification, fuzzy systems, genetic algorithm, rule extraction. [bibtex-entry]

  10. S. Mitra, P. Mitra, and S. Pal. Evolutionary modular design of rough knowledge-based network using fuzzy attributes. Neurocomputing, 36:45-66, 2001. Keyword(s): soft computing, fuzzy MLP, rough sets, knowledge-based network, genetic algorithm, modular neural network. [bibtex-entry]

  11. P. Pendharkar. An empirical study of design and testing of hybrid evolutionary-neural approach for classification. Omega - The International Journal of Management Science, 29:361-374, 2001. Keyword(s): artificial intelligence, artificial neural networks, genetic algorithm, discriminant analysis, classification, learning. [bibtex-entry]

  12. J. Dona, J. Peláez, A. Holgado, and O. Hidalgo. Analysis of the genetic algorithm Gamic for multicriteria classification of inventories. IEEE - The Institute of Electrical and Electronics Engineers, 2:606-611, 2000. Keyword(s): genetic algorithm, AHP, inventory, rank reversal, multi-criteria analysis. [bibtex-entry]

  13. M. Mannino and M. Koushik. The cost-minimizing inverse classification problem: A genetic algorithm approach. Decision Support Systems, 29:283-300, 2000. Keyword(s): inverse classification, genetic algorithm, classification systems, sensitivity analysis. [bibtex-entry]

  14. U. Maulik and S. Bandyopadhyay. Genetic algorithm-based clustering technique. Pattern Recognition, 33(9):1455-1465, 2000. Keyword(s): genetic algorithm, clustering metric, k-means algorithm, real encoding, Euclidean distance. [bibtex-entry]

  15. K. Ray and J. Ghoshal. Neuro-genetic approach to multidimensional fuzzy reasoning for pattern classsification. Fuzzy Sets and Systems, 112:449-483, 2000. Keyword(s): multidimensional fuzzy implication, multidimensional fuzzy reasoning, pattern classification, multilayer perceptron, genetic algorithm, regularization. [bibtex-entry]

  16. R. Sexton and R. Dorsey. Reliable classification using networks: A genetic algorithm and backpropagation comparison. Decision Support Systems, 30:11-22, 2000. Keyword(s): neural networks, genetic algorithm, backpropagation, decision support systems, classification, artificial intelligence. [bibtex-entry]

  17. C. Emmanouilidis, A. Hunter, J. MacIntyre, and C. Cox. Multiple-criteria genetic algorithms for feature selection in neuro-fuzzy modeling. IEEE Transactions on Neural Networks, 6:4387-4392, 1999. Keyword(s): multiobjective genetic algorithms, fuzzy models, classification, feature selection, data mining. [bibtex-entry]

  18. J. Garreli i Guiu, E. Golobardes i Ribé, E. Bernardó i Mansilla, and X. Llorà i Fàbrega. Automatic diagnosis with genetic algorithms and case-based reasoning. Artificial Intelligence in Engineering, 13:367-372, 1999. Keyword(s): machine learning, genetic algorithm, case-based reasoning, classifier systems, automatic classification, diagnosis, breast cancer. [bibtex-entry]

  19. I. Jagielska, C. Matthews, and T. Whitfort. An investigation into the application of neural networks, fuzzy logic, genetic algorithms, and rough sets to automated knowledge acquisition for classification problems. Neurocomputing, 24:37-54, 1999. Keyword(s): automated knowledge acquisition, fuzzy rule extraction, fuzzy classification systems, neural networks, genetic algorithm, rough sets. [bibtex-entry]

  20. S. Bandyopadhyay, S. Pal, and U. Maulik. Incorporating chromosome differentiation in genetic algorithms. Information Sciences: An International Journal, 104:293-319, 1998. [bibtex-entry]

  21. A. Gonzalez and R. Perez. Completeness and consistency conditions for learning fuzzy rules. Fuzzy Sets and Systems, 96:37-51, 1998. Keyword(s): machine learning, classification, fuzzy logic, fuzzy rules, genetic algorithm. [bibtex-entry]

  22. H. Guvenir and E. Erel. Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105:29-37, 1998. Keyword(s): computers, genetic algorithm, AHP, inventory, multi-criteria analysis. [bibtex-entry]

  23. H. Ishibuchi, T. Murata, and M. Gen. Performance evaluation of fuzzy rule-based classification systems obtained by multi- objective genetic algorithms. Computers & Industrial Engineering, 35(3-4):575-578, 1998. Keyword(s): fuzzy rule-based system, pattern classification, rule selection, genetic algorithm, knowledge acquisition. [bibtex-entry]

  24. H. Ishibuchi, T. Murata, and I. Türksen. Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems, 89(2):135-150, 1997. Keyword(s): linguistic modeling, pattern recognition, data analysis, genetic algorithm, rule selection. [bibtex-entry]



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Last modified: Fri Dec 15 07:05:48 2006
Author: Juscelino Dias.

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