Artificial Evolution: Third European Conference, AE '97, Nimes, France, October 22-24, 1997, Selected Papers: 1363 - Brossura

Snyers, Dominique; Lutton, Evelyne; Schoenauer, Marc; Hao, Jin-Kao; Ronald, Edmund

 
9783540641698: Artificial Evolution: Third European Conference, AE '97, Nimes, France, October 22-24, 1997, Selected Papers: 1363

Sinossi

This book constitutes the thoroughly refereed post-conference proceedings of the Third European Conference on Artificial Evolution, AE '97, held in Nimes, France, in October 1997.

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Contenuti

A template for scatter search and path relinking.- Representations, fitness functions and genetic operators for the satisfiability problem.- Genetic algorithms at the edge of a dream.- Mimetic evolution.- Adaptive penalties for evolutionary graph coloring.- An agent system for learning profiles in broadcasting applications on the Internet.- Application of evolutionary algorithms to protein folding prediction.- Telephone network traffic overloading diagnosis and evolutionary computation techniques.- Genetic algorithms for genetic mapping.- Inverse problems for finite automata: A solution based on genetic algorithms.- Evolving Turing machines from examples.- Genetic algorithms: Minimal conditions for convergence.- An analysis of punctuated equilibria in simple genetic algorithms.- SGA search dynamics on second order functions.- Asymptotical convergence rates of simple evolutionary algorithms under factorizing mutation distributions.- Wings were not designed to let animals fly.- Adaptation on the evolutionary time scale: A working hypothesis and basic experiments.- The frequency assignment problem: A look at the performance of evolutionary search.- A critical and empirical study of epistasis measures for predicting GA performances: A summary.- A priori comparison of binary crossover operators: No universal statistical measure, but a set of hints.- The dynamical nightwatch's problem solved by the autonomous micro-robot Khepera.- CoDi-1Bit : A simplified cellular automata based neuron model.- Million module neural systems evolution.

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