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Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo.

, , , , , , , and . GECCO Companion, page 1522-1530. ACM, (2021)

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A statistical learning theory approach of bloat., , , and . GECCO, page 1783-1784. ACM, (2005)Individual GP: an Alternative Viewpoint for the Resolution of Complex Problems., , , and . GECCO, page 974-981. Morgan Kaufmann, (1999)Introducing machine learning for power system operation support., , , , and . CoRR, (2017)JEO: Java Evolving Objects., , , , , and . GECCO, page 991-994. Morgan Kaufmann, (2002)Parametric Coding vs Genetic Programming: A Case Study, , and . Late-Breaking Papers of EuroGP-99, page 13--22. Goteborg, Sweeden, (26-27 May 1999)Universal Consistency and Bloat in GP, , , and . Revue d'Intelligence Artificielle, 20 (6): 805--827 (2006)Issue on New Methods in Machine Learning. Theory and Applications.Polar IFS + Individual Genetic Programming = Efficient IFS Inverse Problem Solving, , , and . RR-3849. INRIA, Domaine de Voluceau - Rocquencourt - B.P. 105 78153 Le Chesnay Cedex France, (December 1999)Using Domain Knowledge in Evolutionary System Identification, and . Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, Athens, (19-21 September 2001)Evolutionary Identification of Macro-Mechanical Models, , , , and . Advances in Genetic Programming 2, chapter 23, MIT Press, Cambridge, MA, USA, (1996)Optimizing coverage of simulated driving scenarios for the autonomous vehicle., , , and . ICCVE, page 1-5. IEEE, (2019)