Multilayer feedforward networks are universal approximators
Neural Networks
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Using self organizing maps and genetic algorithms for model selection in multilevel optimization
IEA/AIE '99 Proceedings of the 12th international conference on Industrial and engineering applications of artificial intelligence and expert systems: multiple approaches to intelligent systems
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A comprehensive survey of fitness approximation in evolutionary computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
On the complexity of hierarchical problem solving
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Convergence Time for the Linkage Learning Genetic Algorithm
Evolutionary Computation
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Nonlinearity linkage detection for financial time series analysis
Proceedings of the 9th annual conference on Genetic and evolutionary computation
ASAGA: an adaptive surrogate-assisted genetic algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Genetic algorithms and the abc music notation language for rock music composition
Proceedings of the 10th annual conference on Genetic and evolutionary computation
On the detection of general problem structures by using inductive linkage identification
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Lower and upper bounds for linkage discovery
IEEE Transactions on Evolutionary Computation
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Dependency structure matrix, genetic algorithms, and effective recombination
Evolutionary Computation
Expert Systems with Applications: An International Journal
Generalizing surrogate-assisted evolutionary computation
IEEE Transactions on Evolutionary Computation
A surrogate-assisted and informed linkage aware GA
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
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Linkage in terms of genetic algorithms is a measure of interdependence of groups of genes. When linkage exists, the fitness contribution of one gene depends on the allele setting of another. Our approach, a surrogate-assisted linkage inference genetic algorithm (SALIGA), is able to detect linkage for real-valued alleles. It uses a perturbation-based method with the aid of fitness surrogates and clustering techniques. Experimental results of linkage inference applied to several synthetic fitness functions are provided. The results demonstrate that SALIGA is able to reliably infer linkage and will correctly group the genes of an individual according to their linkage group membership, while using fewer fitness evaluations through a surrogate model. In addition, our results are augmented with a discussion regarding linkage detection through feature selection.