Download Artificial Evolution: 6th International Conference, by Michael Defoin Platel, Sebastien Verel, Manuel Clergue, PDF

By Michael Defoin Platel, Sebastien Verel, Manuel Clergue, Philippe Collard (auth.), Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton, Marc Schoenauer (eds.)

This ebook constitutes the completely refereed post-proceedings of the sixth foreign convention on man made Evolution, EA 2003, held in Marseilles, France in October 2003.

The 32 revised complete papers offered have been conscientiously chosen and enhanced in the course of rounds of reviewing and revision. The papers are prepared in topical sections on theoretical concerns, algorithmic concerns, purposes, implementation concerns, genetic programming, coevolution and agent platforms, synthetic existence, and mobile automata.

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Read or Download Artificial Evolution: 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003, Revised Selected Papers PDF

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Extra info for Artificial Evolution: 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003, Revised Selected Papers

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Oliver, I. , Smith, D. , and Holland, J. R. : A Study of Permutation Crossover Operators on the Traveling Salesman Problem. In: Proceedings of the Second International Conference on Genetic Algorithms (1987), 224-230. 26 M. Nicolau, A. Auger, and C. Ryan 12. : Crossover in Grammatical Evolution. Genetic Programming and Evolvable Machines, Vol. 4, No. 1 (2003), 67-93. 13. O’Neill, M. : Grammatical Evolution - Evolving programs in an arbitrary language. Kluwer Academic Publishers (2003). 14. : Grammatical Evolution.

Fr Abstract. In this paper we apply evolutionary methods to find finite binary ±1-sequences with low out-of-phase aperiodic auto-correlations. These sequences have important applications in communication or statistical mechanics, but their construction is a difficult computational problem. The Golay Factor of Merit is studied from a probabilistic point of view, in order to explain the poor efficiency of evolutionary algorithms. Various genetic algorithms are then proposed and tested. 1 Introduction Let B denote the binary alphabet {+1, –1} and let a B-string of length The so-called aperiodic auto-correlation of finite Z-valued sequence defined by be is the Readily, Binary sequences (or B-strings) with flat out-of-phase aperiodic auto-correlations have applications in communication engineering [12] or statistical mechanics [2], for example.

3 GAuGE The GAuGE system is based on most of the same biologically inspired features present in GE, and as GE, it also uses a genotype to phenotype mapping process, thus separating the search space (the genotype space) and the solution space (the phenotype space). The main principle behind GAuGE is the separate encoding of the position and value of each variable, at the genotypic level. This allows the system to adapt its representation of the problem; experiments conducted previously [10] have shown that this feature allowed GAuGE to evolve its representation, to match the salience hierarchy of a given set of problems.

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