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PreviewIssue DateTitleAuthor(s)
2016The relationship between model complexity and forecasting performance for computer intelligence optimization in financeGhandar, A.; Michalewicz, Z.; Zurbruegg, R.
2012Enhancing profitability through interpretability in algorithmic trading with a multiobjective evolutionary fuzzy systemGhandar, A.; Michalewicz, Z.; Zurbrugg, R.; Coello, C.A.C.; Cutello, V.; Deb, K.; Forrest, S.; Nicosia, G.; Pavone, M.; International Conference on Parallel Problem Solving from Nature (12th : 2012 : Taormina, Italy)
2010Evolving fuzzy rules: evaluation of a new approachGhandar, A.; Michalewicz, Z.; Neumann, F.; Deb, K.; Bhattacharya, A.; Chakraborti, N.; Chakroborty, P.; Das, S.; Dutta, J.; Gupta, S.K.; Jain, A.; Aggarwal, V.; Branke, J.; Louis, S.J.; Tan, K.C.; International Conference on Simulated Evolution and Learning (2010 : India)
2011A case for learning simpler rule sets with multiobjective evolutionary algorithmsGhandar, A.; Michalewicz, Z.; Zurbrugg, R.; Bassiliades, N.; Governatori, G.; Paschke, A.; International Conference on Rule-based Reasoning, Programming, and Applications (5th : 2011 : Barcelona, Spain)
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)
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)
2011Controlling the tradeoff between time and quality by considering the reproductive potential of offspringParkinson, E.; Ghandar, A.; Michalewicz, Z.; Tuson, A.; Krasnogor, N.; Lanzi, P.L.; Genetic and Evolutionary Computation Conference (GECCO) (12 Jul 2011 - 16 Jul 2011 : Dublin)
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)
2011Considerations of the nature of the relationship between generalization and interpretability in evolutionary fuzzy systemsGhandar, A.; Michalewicz, Z.; Krasnogor, N.; Lanzi, P.L.; Genetic and Evolutionary Computation Conference (13th : 2011 : Dublin, Ireland)

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