Multilayer feedforward networks are universal approximators
Neural Networks
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Speculation on the evolution of intelligence and its possible realization in machine form.
Speculation on the evolution of intelligence and its possible realization in machine form.
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
An integer-coded evolutionary approach for mixture maximum likelihood clustering
Pattern Recognition Letters
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Metric-based stochastic conceptual clustering for ontologies
Information Systems
Metric-based stochastic conceptual clustering for ontologies
Information Systems
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Conceptual clustering applied to ontologies: a distance-based evolutionary approach
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Conceptual clustering and its application to concept drift and novelty detection
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A genetic clustering algorithm using a message-based similarity measure
Expert Systems with Applications: An International Journal
Dynamic clustering using multi-objective evolutionary algorithm
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
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The problem of unsupervised learning of patterns in spatial data is addressed using evolutionary programming. Hyperbox clusters of two-dimensional data are evolved in light of a minimum description length (MDL) principle. A series of experiments of increasing complexity indicates that evolutionary programming can be useful in generating clusters for data when no a priori classification information is available. In some cases, the best evolved clusters have lower MDL scores than the clusters that would correspond to the true probability distribution of the data. Brief consideration is given to using other functions for clustering, such as hyperellipses.