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» Genetic programming for Expert Systems
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103
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GECCO
2008
Springer
278views Optimization» more  GECCO 2008»
15 years 4 months ago
Elitism reduces bloat in genetic programming
Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements t...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
168
Voted
ACSC
2009
IEEE
15 years 10 months ago
Inference of Gene Expression Networks Using Memetic Gene Expression Programming
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
Armita Zarnegar, Peter Vamplew, Andrew Stranieri
141
Voted
EVOW
2009
Springer
15 years 1 months ago
Evolving High-Speed, Easy-to-Understand Network Intrusion Detection Rules with Genetic Programming
An ever-present problem in intrusion detection technology is how to construct the patterns of (good, bad or anomalous) behaviour upon which an engine have to make decisions regardi...
Agustín Orfila, Juan M. Estévez-Tapi...
136
Voted
GPEM
2008
128views more  GPEM 2008»
15 years 3 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
137
Voted
ISDA
2010
IEEE
15 years 1 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...