Proceedings of the ... IEEE Conference on Evolutionary ComputationIEEE, 1997 - Algorithms |
Contents
Towards a Theory of PopulationBased Incremental Learning | 1 |
The Gamblers Ruin Problem Genetic Algorithms and the Sizing of Populations | 7 |
The Mixing Evolutionary Algorithm independent selection and allocation of trials | 13 |
Copyright | |
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Common terms and phrases
adaptive applied approach average binary bits building blocks cell chromosome circuit clusters color Computer Science Conference on Genetic constraints convergence crossover crossover operator defined distance DNA computing domain dynamic edges encoding evaluation evolution evolutionary algorithm Evolutionary Computation Evolutionary Programming evolved example Figure fitness function fitness landscape fitness value fuzzy genes Genetic Algorithms genetic operators genetic programming genotype global global optimum graph heuristic hybrid IEEE implementation improve individual initial population input International Conference iterations learning local search method molecules mutation operator mutation rate Neural Networks node offspring optimisation optimization problems optimum paper parameters parents path performance probability Proc Proceedings proposed random randomly recombination representation represented rithm robot runs search space selection sequence simulation solution solve splicing rules step strategy string structure Table techniques test tube tion Traveling Salesman Problem variables vector