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Multiobjective optimization of frequent pattern models in ultra-high frequency time series: Stability versus universality., , and . CEC, page 3491-3498. IEEE, (2016)Training Financial Decision Support Systems with Thousands of Decision Rules Using Differential Evolution with Embedded Dimensionality Reduction.. EvoApplications, volume 9028 of Lecture Notes in Computer Science, page 289-301. Springer, (2015)Making IDEA-ARIMA Efficient in Dynamic Constrained Optimization Problems., and . EvoApplications, volume 9028 of Lecture Notes in Computer Science, page 882-893. Springer, (2015)Building Risk-Optimal Portfolio Using Evolutionary Strategies., , and . EvoWorkshops, volume 4448 of Lecture Notes in Computer Science, page 208-217. Springer, (2007)Multidimensional time series feature engineering by hybrid evolutionary approach., and . GECCO (Companion), page 67-68. ACM, (2019)Knowledge Patterns in Evolutionary Decision Support Systems for Financial Time Series Analysis.. EvoWorkshops, volume 5484 of Lecture Notes in Computer Science, page 203-212. Springer, (2009)Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods., , and . EvoApplications, volume 7835 of Lecture Notes in Computer Science, page 234-243. Springer, (2013)Performance Measures in an Evolutionary Stock Trading Expert System., and . International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, page 835-842. Springer, (2004)Evolutionary Approach to Multiobjective Optimization of Portfolios That Reflect the Behaviour of Investment Funds., , and . AIMSA, volume 7557 of Lecture Notes in Computer Science, page 202-211. Springer, (2012)A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems., , and . HAIS (1), volume 7208 of Lecture Notes in Computer Science, page 610-621. Springer, (2012)