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Results 1-10 of 13 (Search time: 0.004 seconds).
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PreviewIssue DateTitleAuthor(s)
2011An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part IIAbello, M.; Bui, L.; Michalewicz, Z.; IEEE Congress of Evolutionary Computation (2011 : New Orleans, USA)
2011Evolutionary AlgorithmsMichalewicz, Z.; Schoenauer, M.
2011Considerations of the nature of the relationship between generalization and interpretability in evolutionary fuzzy systemsGhandar, A.; Michalewicz, Z.; Genetic and Evolutionary Computation Conference (13th : 2011 : Dublin, Ireland)
2011Advanced planning in vertically integrated supply chainsIbrahimov, M.; Mohais, A.; Schellenberg, S.; Michalewicz, Z.
2011An experimental study of multi-objective evolutionary algorithms for balancing interpretability and accuracy in fuzzy rulebase classifiers for financial predictionGhandar, A.; Michalewicz, Z.; IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) (2011 : Paris)
2011Optimising the wine supply chainMichalewicz, M.; Michalewicz, Z.; Spitty, R.; Australian Wine industry Technical Conference (14th : 2010 : Adelaide, S.A.)
2011Estimating the reproductive potential of offspring in evolutionary heuristics for combinatorial optimization problemsParkinson, E.; Ghandar, A.; Michalewicz, Z.; Tuson, A.; IEEE Congress of Evolutionary Computation (2011 : New Orleans, USA)
2011Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysisIbrahimov, M.; Mohais, A.; Schellenberg, S.; Michalewicz, Z.; IEEE Congress of Evolutionary Computation (2011 : New Orleans, USA)
2011Using cellular evolution for diversification of the balance between accurate and interpretable fuzzy knowledge bases for classificationGhandar, A.; Michalewicz, Z.; IEEE Congress of Evolutionary Computation (2011 : New Orleans, USA)
2011An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part IAbello, M.; Bui, L.; Michalewicz, Z.; IEEE Congress of Evolutionary Computation (2011 : New Orleans, USA)