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» Using Genetic Programming to Increase Rule Quality
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ISSRE
2000
IEEE
15 years 10 months ago
Building Trust into OO Components Using a Genetic Analogy
Despite the growing interest for component-based systems, few works tackle the question of the trust we can bring into a component. This paper presents a method and a tool for bui...
Benoit Baudry, Vu Le Hanh, Jean-Marc Jéz&ea...
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
15 years 9 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
EC
2006
121views ECommerce» more  EC 2006»
15 years 5 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
MAM
2007
157views more  MAM 2007»
15 years 5 months ago
Executing large algorithms on low-capacity FPGAs using flowpath partitioning and runtime reconfiguration
This paper describes a new method of executing a software program on an FPGA for embedded systems. Rather than combine reconfigurable logic with a microprocessor core, this method...
Darrin M. Hanna, Michael DuChene
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
15 years 11 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...