Artificial Evolution
Editat de Jin-Kao Hao, Evelyne Lutton, Edmund Ronald, Marc Schoenauer, Dominique Snyersen Limba Engleză Paperback – 18 feb 1998
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Specificații
ISBN-13: 9783540641698
ISBN-10: 3540641696
Pagini: 368
Ilustrații: XII, 356 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.56 kg
Ediția:1998
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540641696
Pagini: 368
Ilustrații: XII, 356 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.56 kg
Ediția:1998
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.