Sciweavers

16 search results - page 3 / 4
» Fitness functions for the unconstrained evolution of digital...
Sort
View
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
13 years 10 months ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
BIBE
2008
IEEE
14 years 1 hour ago
Robust parameter identification for biological circuit calibration
Abstract-The aim of this work is to compare some deterministic optimization algorithms and evolutionary algorithms on parameter estimation in a biological circuit design problem: t...
Giuseppe Nicosia, Eva Sciacca
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 6 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
EH
2003
IEEE
136views Hardware» more  EH 2003»
13 years 10 months ago
Experimental Results in Evolutionary Fault-Recovery for Field Programmable
This paper presents experimental results of fast intrinsic evolutionary design and evolutionary fault recovery of a 4-bit Digital to Analog Converter (DAC) using the JPL stand-alo...
Ricardo Salem Zebulum, Didier Keymeulen, Vu Duong,...
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
13 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...