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» On improving genetic programming for symbolic regression
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GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
15 years 3 months ago
Resource-limited genetic programming: the dynamic approach
Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources ...
Sara Silva, Ernesto Costa
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
15 years 2 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
EUROGP
2008
Springer
14 years 11 months ago
PlasmidPL: A Plasmid-Inspired Language for Genetic Programming
We present PlasmidPL, a plasmid-inspired programming language designed for Genetic Programming (GP), and based on a chemical metaphor. The basic data structures in PlasmidPL are ci...
Lidia Yamamoto
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 4 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
EUROGP
2010
Springer
182views Optimization» more  EUROGP 2010»
14 years 11 months ago
Unsupervised Problem Decomposition Using Genetic Programming
We propose a new framework based on Genetic Programming (GP) to automatically decompose problems into smaller and simpler tasks. The framework uses GP at two levels. At the top lev...
Ahmed Kattan, Alexandros Agapitos, Riccardo Poli