By Peter J. Bentley (auth.), Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton, Marc Schoenauer (eds.)
The Evolution Arti?cielle cycle of meetings was once initially initiated as a discussion board for the French-speaking evolutionary computation neighborhood. prior EA m- tings have been held in Toulouse (EA’94), Brest (EA’95, LNCS 1063), Nˆ?mes (EA’97, LNCS 1363), Dunkerque (EA’99, LNCS 1829), and ?nally, EA 2001 was once hosted by means of the Universit´e de Bourgogne within the small city of Le Creusot, in a space of France well known for its very good wines. besides the fact that, the EA meetings were receiving an increasing number of papers from the foreign neighborhood: this convention could be thought of totally internat- nal, with 39submissions from non-francophonic international locations on all ?ve continents, out of a complete of sixty eight. Out of those sixty eight papers, in basic terms 28 have been offered orally (41%) because of the formulation of the convention (single consultation with displays of half-hour) that every one individuals appear to savor much. The Organizing Committee needs to thank the contributors of the foreign application Committee for his or her exertions (mainly because of the huge variety of submissions) and for the provider they rendered to the neighborhood by means of making sure the excessive scienti?c content material of the papers provided. truly, the final caliber of the papers awarded was once very excessive and all 28 shows are integrated during this quantity, grouped in eight sections which roughly re?ect the association of the oral consultation: 1. Invited Paper: P. Bentley gave an excellent speak on his classi?cation of int- disciplinary collaborations, and confirmed us a few of his paintings with musicians and biologists.
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Extra resources for Artificial Evolution: 5th International Conference, Evolution Artificielle, EA 2001 Le Creusot, France, October 29–31, 2001 Selected Papers
In this direction, we propose an evolutionary algorithm that searches for automata able to predict a binary string better than randomly. The underlying idea is to use the evolutive ability of prediction of the algorithm to get measures of the randomness of the sequence. It is interesting to relate our method to the following one which is strongly connected to inverse problems for ﬁnite automata considered in : by iterating a substitution it produces a string which is close (according to the Hamming distance for example) to a given one.
The converse of this result is also evident: for any ultimately periodic (binary) word, there exists an automatic predictor that exactly predicts the word. Notice that for any given automatic predictor, it is easy to construct an inﬁnite binary string u which is not ultimately periodic but ρ(P, u) = 1. The following result derives from a theorem in  which gives the general structure of inﬁnite words such that ρ(P, u) = 1. Proposition 2. Let P be an automatic predictor and let u be an inﬁnite binary word such that limn ρ(P, u[n]) = 1.
A randomness test for binary sequences based on evolutionary algorithms. In Proceedings of the 1999 Genetic and Evolutionary Computation Conference Workshop Program, Annie S. , Orlando (1999) 355–356 7. : Recherche de r´egularit´es dans des suites binaires pseudo-al´eatoires au moyen des algorithmes ´evolutionnaires. Master’s Degree, Universit´e de Provence, Marseille (2000) 8. : A note on Boltzmann tournament selection for genetic algorithms and population-oriented simulated annealing. Complex Systems 4 (1990) 445–460 9.