What people are saying - Write a review
We haven't found any reviews in the usual places.
MB3 Evolving Neural Network
Continuous Estimation of Distribution Algorithms with Probabilistic Principal Component
A Genetic Clustering Algorithm Guided by a Descent Algorithm
72 other sections not shown
Other editions - View all
agents applied approach average behavior binary chromosome classifier clustering constraints convergence cost function crossover data set defined distribution diversity dominated dynamic equation error evolution evolution strategy evolutionary algorithms Evolutionary Computation evolved example experiments Figure fitness function fitness landscape fitness value fuzzy gene Genetic Algorithms genetic operations Genetic Programming global global optimization graph harmonic hybrid IEEE individuals initial input interaction iterative learning linear Machine Learning matrix method MOEAs multi-objective mutation mutation operator neural networks neural oscillators node noise non-dominated nonlinear objective optimization problems output paper parameters parents Pareto Pareto optimal payoff performance player polynomial population probabilistic probability Proc proposed random randomly rank rules sample scheduling schema search space sequence shown shows simulated annealing simulation solution sorting algorithm step strategy structure Table tabu test problems Theorem tion tree variables vector Visualized weights