Sciweavers

1147 search results - page 22 / 230
» Performance-Enhanced Genetic Programming
Sort
View
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
14 years 9 days ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
GECCO
2009
Springer
190views Optimization» more  GECCO 2009»
13 years 11 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
Marc Segond, Cyril Fonlupt, Denis Robilliard
EC
1998
121views ECommerce» more  EC 1998»
13 years 7 months ago
Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming
Parsimony pressure, the explicit penalization of larger programs, has been increasingly used as a means of controlling code growth in genetic programming. However, in many cases p...
Terence Soule, James A. Foster