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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 5 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
WAC
2005
Springer
118views Communications» more  WAC 2005»
14 years 4 months ago
Experiments on the Automatic Evolution of Protocols Using Genetic Programming
Truly autonomic networks ultimately require self-modifying, evolving protocol software. Otherwise humans must intervene in every situation that has not been anticipated at design t...
Lidia Yamamoto, Christian F. Tschudin
GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
14 years 4 months ago
Feature Synthesis Using Genetic Programming for Face Expression Recognition
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Bir Bhanu, Jiangang Yu, Xuejun Tan, Yingqiang Lin
EUROGP
2006
Springer
135views Optimization» more  EUROGP 2006»
14 years 2 months ago
Dynamic Scheduling with Genetic Programming
This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics. The applied scheduling technique is priority scheduling, where the next st...
Domagoj Jakobovic, Leo Budin
IWANN
2007
Springer
14 years 4 months ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...