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PPSN
1994
Springer
13 years 12 months ago
A Representation Scheme To Perform Program Induction in a Canonical Genetic Algorithm
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
Mark Wineberg, Franz Oppacher
ISDA
2009
IEEE
14 years 2 months ago
A Genetic Programming-Based Algorithm for Composing Web Services
—Web Services are interfaces that describe a collection of operations that are network-accessible through standardized web protocols. When a required operation is not found, seve...
Manuel Mucientes, Manuel Lama, Miguel I. Couto
CEC
2008
IEEE
14 years 2 months ago
Policy evolution with Genetic Programming: A comparison of three approaches
— In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subt...
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pa...
AICCSA
2006
IEEE
133views Hardware» more  AICCSA 2006»
14 years 1 months ago
Learning acyclic rules based on Chaining Genetic Programming
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu