Proceedings of the ... IEEE Conference on Evolutionary ComputationIEEE, 1996 - Algorithms |
Contents
Plenary Lectures | 1 |
Invited Lectures | 20 |
Evolutionary Programming Genetic Programming | 26 |
Copyright | |
80 other sections not shown
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Common terms and phrases
adaptation agents antibody applied approach architecture Artificial average behavior best individual binary chromosome classifier coding complex constraints convergence crossover crossover and mutation crossover operator defined dynamic encoding environment evaluation evolution strategies evolutionary algorithms Evolutionary Computation evolutionary programming evolved example experiments feasible Figure fitness function fitness value fuzzy logic genes Genetic Algorithms genetic operators genotype given global global optimum gorithms idiotope IEEE improvement initial population input interaction inverse problems iterations linear local search Machine Learning mechanism minimization Morgan Kaufmann mutation operator mutation probability mutation rate neural networks nodes objective function obtained offspring optimisation optimization problems optimum output paper parallel parameters parents pattern performance Proc proposed method Q-Learning Q-PSP Learning random randomly recombination representation robot rule scheme search space selection sensor sequence shown simulation solution solve step string structure Table techniques tion variables vector