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GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 11 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 11 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
EC
2008
225views ECommerce» more  EC 2008»
13 years 10 months ago
Texture Segmentation by Genetic Programming
We investigated image retrieval using texture segmentation by genetic programming. In this study, we are interested with two textures: sky and grass textures. Single-step texture ...
Andy Song, Victor Ciesielski
GECCO
1999
Springer
14 years 2 months ago
Evolution by Means of Genetic Programming of Analog Circuits that Perform Digital Functions
This paper demonstrates the ability of genetic programming to evolve analog circuits that perform digital functions and mixed analog-digital circuits. The evolved circuits include...
Forrest H. Bennett III, John R. Koza, Martin A. Ke...
GECCO
1999
Springer
106views Optimization» more  GECCO 1999»
14 years 2 months ago
Generating Lemmas for Tableau-based Proof Search Using Genetic Programming
Top-down or analytical provers based on the connection tableau calculus are rather powerful, yet have notable shortcomings regarding redundancy control. A well-known and successfu...
Marc Fuchs, Dirk Fuchs, Matthias Fuchs