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GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
15 years 7 months ago
Empirical investigations on parallel competent genetic algorithms
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 7 months ago
Self-adaptive mutation in XCSF
Recent advances in XCS technology have shown that selfadaptive mutation can be highly useful to speed-up the evolutionary progress in XCS. Moreover, recent publications have shown...
Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
15 years 7 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
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 7 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
116views Optimization» more  GECCO 2008»
15 years 7 months ago
Stock trading strategies by genetic network programming with flag nodes
Genetic Network Programming (GNP) has been proposed as a graph-based evolutionary algorithm. GNP works well especially in dynamic environments due to its graph structures. In addi...
Shingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hira...