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» Using genetic programming to obtain implicit diversity
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CEC
2007
IEEE
15 years 1 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
GECCO
2004
Springer
15 years 2 months ago
Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups
In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describ...
Tadahiko Murata, Takashi Nakamura
77
Voted
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 1 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...
88
Voted
MCS
2001
Springer
15 years 1 months ago
Genetic Programming for Improved Receiver Operating Characteristics
Genetic programming (GP) can automatically fuse given classifiers of diverse types to produce a combined classifier whose Receiver Operating Characteristics (ROC) are better than...
William B. Langdon, Bernard F. Buxton

Publication
195views
13 years 7 months ago
Analog Genetic Encoding for the Evolution of Circuits and Networks
This paper describes a new kind of genetic representation called analog genetic encoding (AGE). The representation is aimed at the evolutionary synthesis and reverse engineering of...
Claudio Mattiussi, Dario Floreano