By Michael Defoin Platel, Sebastien Verel, Manuel Clergue, Philippe Collard (auth.), Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton, Marc Schoenauer (eds.)
This booklet 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 awarded have been rigorously chosen and superior in the course of rounds of reviewing and revision. The papers are equipped in topical sections on theoretical concerns, algorithmic concerns, purposes, implementation concerns, genetic programming, coevolution and agent structures, synthetic existence, and mobile automata.
Read Online 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
This problem has independent variables, but exhibits a hierarchical structure in which the contribution of each variable to the fitness function depends on its position. The first natural frequency of a simply supported rectangular plate is proportional to the square root of the following expression: where L and W are the length and width of the plate. The bending stiffness coefficients are obtained by: 32 L. Grosset, R. T. Haftka where the U terms are material constants and refers to the position of the ply in the laminate.
References 1. , Binary sequences with maximally flat amplitude spectrum, Philips J. Res. 40 (1985), 289–304. 2. , Low autocorrelation binary sequences: statistical mechanics and configuration space analysis, J. Physique, 48 (1987), 559. 3. , The merit factor of long low autocorrelation binary sequences , IEEE Trans. Inf. theory, IT-23 (1982) 43–51. 4. , The merit factor of Legendre sequences, IEEE Trans. Inf. theory, IT-29, 1983, 934-936. 5. , Würtz D. , Low Autocorrelation Binary Sequences: Exact Enumeration and Optimization by Evolutionary Strategies, Optimization, 23 (1992), Gordon & Breach Science Publish.
For our purpose, we have used the rand() function available in C++ library, which corresponds to the left truncation reduced mod of the linear congruential generator with and Despite of regularities in binary representation of the generated number (see ) produced by such a generator and the relatively short period (in fact, equal to it will be good enough for our experiments which usually require series of 2000 trails. Suggested by Referees, we have compare these experiments with those obtained by using the Mersenne Twister (MT) pseudo-random generator: the empirical distribution functions in both cases are quite identical (see Figures 1 and 2).
Artificial Evolution: 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003, Revised Selected Papers by Michael Defoin Platel, Sebastien Verel, Manuel Clergue, Philippe Collard (auth.), Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton, Marc Schoenauer (eds.)