By Peter J. Bentley (auth.), Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton, Marc Schoenauer (eds.)
The Evolution Arti?cielle cycle of meetings used to be initially initiated as a discussion board for the French-speaking evolutionary computation neighborhood. past 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 used to be hosted via the Universit´e de Bourgogne within the small city of Le Creusot, in a space of France well known for its first-class wines. besides the fact that, the EA meetings were receiving increasingly more papers from the overseas group: this convention might be thought of totally internat- nal, with 39submissions from non-francophonic nations on all ?ve continents, out of a complete of sixty eight. Out of those sixty eight papers, merely 28 have been offered orally (41%) as a result of formulation of the convention (single consultation with shows of half-hour) that each one contributors appear to take pleasure in much. The Organizing Committee needs to thank the contributors of the overseas software Committee for his or her exertions (mainly as a result of 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 awarded. really, the general caliber of the papers provided used to be very excessive and all 28 shows are incorporated during this quantity, grouped in eight sections which roughly re?ect the association of the oral consultation: 1. Invited Paper: P. Bentley gave an outstanding 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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Additional info for Artificial Evolution: 5th International Conference, Evolution Artificielle, EA 2001 Le Creusot, France, October 29–31, 2001 Selected Papers
From our experiments, the best results have been obtained with a probability varying in that interval during the evolution process. The selection phase is similar to that of an (m + m)-evolution strategy: in the population formed by the m parents and the m mutated oﬀsprings, the m individuals with the best ﬁtness pass as parent population in the next generation, and the rest are deleted. There are two principal characteristics of this algorithm: the produced evolution process is non-regressive and hyper-elitist.
C. Musso, N. Oudjane, and F. Legland. Improving regularized particle ﬁlters, chapter Improving regularized particle ﬁlters. In Doucet and Gordon , 2001. 7. R. E. Kalman. A new approach to linear ﬁltering and prediction problems. Transaction of the ASME-Journal of Basic Engineering, pages 35–45, 1960. 8. H. Kunita. Asymptotic behavior of non-linear ﬁltering errors of markov processes. J. Multivariate Analysis, 1(4):365–393, 1971. 9. N. Gordon, D. Salmond, and A. Smith. Novel approach to nonlinear/non-gaussian bayesian state estimation.
It will be of interest to study measures µ such that J(M, ν) does not depend on M and n. The Markovian case seem to be a good candidate. 48 3 U. Cerruti, M. Giacobini, and P. Liardet The Problem In 1951 John von Neumann wrote: “Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin” (cited in Knuth ). In fact, a numerical sequence produced arithmetically to simulate randomness will always be ultimately periodic. But it is this kind of sequences which are used for most applications like calculus, computer programming, cryptography or games.