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EUROGP
2004
Springer
118views Optimization» more  EUROGP 2004»
15 years 2 months ago
Grammatical Evolution by Grammatical Evolution: The Evolution of Grammar and Genetic Code
This study examines the possibility of evolving the grammar that Grammatical Evolution uses to specify the construction of a syntactically correct solution. As the grammar dictates...
Michael O'Neill, Conor Ryan
EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
15 years 19 days ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 2 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
15 years 19 days ago
Exploiting Reflection in Object Oriented Genetic Programming
Most programs currently written by humans are object-oriented ones. Two of the greatest benefits of object oriented programming are the separation of interface from implementation,...
Simon M. Lucas
EUROGP
2004
Springer
135views Optimization» more  EUROGP 2004»
15 years 2 months ago
Reusing Code in Genetic Programming
Abstract. In this paper we propose an approach to Genetic Programming based on code reuse and we test it in the design of combinational logic circuits at the gate-level. The circui...
Edgar Galván López, Riccardo Poli, C...
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