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

ISBN-13: 9783540641698 / Angielski / Miękka / 1998 / 356 str.

J. -K Hao; E. Lutton; M. Schoenauer

Opis

The volume presents 22 revised full papers carefully selected for inclusion together with an invited survey on the state-of-the-art in scatter search by Fred Glover. The papers are organized in topical sections on genetic-algorithm operators, applications in various areas, theoretical issues, methodologies, and evolvable hardware and robotics.

Spis treści

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.