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» Evolving heuristics with genetic programming
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PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 4 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 3 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller
AIIA
1995
Springer
14 years 1 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
ICRA
1998
IEEE
147views Robotics» more  ICRA 1998»
14 years 2 months ago
Biologically Inspired Robot Grasping Using Genetic Programming
This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best&#...
Jaime J. Fernandez, Ian D. Walker
EH
2003
IEEE
129views Hardware» more  EH 2003»
14 years 3 months ago
The Importance of Reuse and Development in Evolvable Hardware
Reuse will become increasingly important as larger digital and analog circuits are created by the techniques of the field of evolvable hardware. This paper discusses the ways by w...
John R. Koza, Martin A. Keane, Matthew J. Streeter