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GECCO
2003
Springer
13 years 12 months ago
Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
Rodney Fry, Andrew M. Tyrrell
TSMC
2002
125views more  TSMC 2002»
13 years 6 months ago
Dynamic page based crossover in linear genetic programming
Page-based Linear Genetic Programming (GP) is proposed in which individuals are described in terms of a number of pages. Pages are expressed in terms of a fixed number of instructi...
Malcolm I. Heywood, A. Nur Zincir-Heywood
ADBIS
2005
Springer
100views Database» more  ADBIS 2005»
14 years 8 days ago
Evolutionary Learning of Boolean Queries by Genetic Programming
Abstract. The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its...
Suhail S. J. Owais, Pavel Krömer, Václ...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 10 months ago
Combining bond-graphs with genetic programming for unified/automated design of mechatronic or multi domain dynamic systems
The multi domain nature of a mechatronic system makes it difficult to model using a single modeling technique over the whole system as varying sets of system variables are require...
Saheeb Ahmed Kayani, Muhammad Afzaal Malik
EVOW
2008
Springer
13 years 8 months ago
Genetic Programming in Statistical Arbitrage
Abstract. This paper employs genetic programming to discover statistical arbitrage strategies on the banking sector in the Euro Stoxx universe. Binary decision rules are evolved us...
Philip Saks, Dietmar G. Maringer