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» Unsupervised Problem Decomposition Using Genetic Programming
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EUROGP
1999
Springer
137views Optimization» more  EUROGP 1999»
14 years 2 months ago
Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks
– This article presents a new approach to the evolution of controllers for autonomous agents. We propose the evolution of a connectionist structure where each node has an associa...
Arlindo Silva, Ana Neves, Ernesto Costa
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 1 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...
ISCI
1998
193views more  ISCI 1998»
13 years 9 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 3 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 4 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...