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GECCO
1999
Springer
15 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»
15 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
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 1 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
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
15 years 1 months ago
Using genetic programming to classify node positive patients in bladder cancer
Nodal staging has been identified as an independent indicator of prognosis. Quantitative RT-PCR data was taken for 70 genes associated with bladder cancer and genetic programming ...
Arpit A. Almal, Anirban P. Mitra, Ram H. Datar, Pe...
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 1 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao