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A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains.

, and . HIS, page 159-164. IEEE, (2010)

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Application of neural networks to adaptive control of nonlinear systems: G.W. Ng, Control Systems Centre Series, UMIST, UK, 1997, ISBN: 0-86380-214-1., and . Automatica, 36 (12): 1931-1933 (2000)Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification., , and . Inf. Sci., 177 (10): 2049-2074 (2007)Analysis of Sensitivity to the Kernel Parameter Choice: Comparing the Performance Profiles Exhibited by Standard andLeast-Squares SVM Classifiers., , and . ISDA, page 127-132. IEEE Computer Society, (2007)Pattern classification with mixtures of weighted least-squares support vector machine experts., , and . Neural Computing and Applications, 18 (7): 843-860 (2009)Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study., , and . SBRN, page 162-167. IEEE Computer Society, (2002)Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms., and . SBRN, page 127-132. IEEE Computer Society, (2010)Online learning in estimation of distribution algorithms for dynamic environments., and . IEEE Congress on Evolutionary Computation, page 62-69. IEEE, (2011)Training multilayer perceptrons with a Gaussian Artificial Immune System., and . IEEE Congress on Evolutionary Computation, page 1250-1257. IEEE, (2011)Interactive Control of Evolution Applied to Sound Synthesis., , and . FLAIRS Conference, page 51-56. AAAI Press, (2005)Bayesian Learning of Neural Networks by Means of Artificial Immune Systems., and . IJCNN, page 4831-4838. IEEE, (2006)