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EVOLVE - A bridge between Probability , Set Oriented Numerics, and Evolutionary Computation.

Emilia Tantar 1 Alexandru-Adrian Tantar 1 Pascal Bouvry 1 Pierre del Moral 2, 3 Pierrick Legrand 2, 3 Carlos Coello Coello 4 Oliver Schuetze 4
1 CSC - Computer Science and Communications Research Unit [Luxembourg]
2 IMB - Institut de Mathématiques de Bordeaux
3 ALEA - Advanced Learning Evolutionary Algorithms
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5251
4 CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional
Abstract : The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation.
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Directions of work or proceedings
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https://hal.inria.fr/hal-01060424
Contributor : Pierrick Legrand <>
Submitted on : Wednesday, September 3, 2014 - 3:37:50 PM
Last modification on : Tuesday, December 1, 2020 - 2:10:11 PM

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  • HAL Id : hal-01060424, version 1

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Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre del Moral, Pierrick Legrand, et al.. EVOLVE - A bridge between Probability , Set Oriented Numerics, and Evolutionary Computation.. Emilia Tantar; Alexandru-Adrian Tantar; Pascal Bouvry; Pierre Del-Moral; Pierrick Legrand; Carlos Coello Coello; Oliver Schütze. France. 447, Springer, pp.412, 2013, 978-3-642-32726-1. ⟨hal-01060424⟩

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