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» Unsupervised Problem Decomposition Using Genetic Programming
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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 3 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 3 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
CEC
2011
IEEE
13 years 9 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
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EUROGP
2001
Springer
15 years 2 months ago
Polymorphism and Genetic Programming
Abstract. Types have been introduced to Genetic Programming (GP) by researchers with different motivation. We present the concept of types in GP and introduce a typed GP system, Po...
Tina Yu
JSW
2006
98views more  JSW 2006»
14 years 9 months ago
A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming
Abstract-- Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of computational resources. Peerto-Peer (P2P...
Gianluigi Folino, Agostino Forestiero, Giandomenic...