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AIIA
1995
Springer
13 years 11 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung
PRICAI
2004
Springer
14 years 29 days ago
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
Abstract. A successful case of applying brute-force search to functional programming automation is presented and compared with a conventional genetic programming method. From the i...
Susumu Katayama
EUROGP
2003
Springer
122views Optimization» more  EUROGP 2003»
14 years 25 days ago
Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming
Teleo-reactive programs and the triple tower architecture have been proposed as a framework for linking perception and action in agents. The triple tower architecture continually u...
Mykel J. Kochenderfer
GPEM
2002
134views more  GPEM 2002»
13 years 7 months ago
Genetic Programming and Autoconstructive Evolution with the Push Programming Language
Push is a programming language designed for the expression of evolving programs within an evolutionary computation system. This article describes Push and illustrates some of the o...
Lee Spector, Alan J. Robinson
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood