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» Methods for Evolving Robust Programs
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GECCO
2007
Springer
141views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving robust GP solutions for hedge fund stock selection in emerging markets
Abstract Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive)...
Wei Yan, Christopher D. Clack
GECCO
2004
Springer
151views Optimization» more  GECCO 2004»
13 years 10 months ago
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
Brian T. Lam, Victor Ciesielski
AHS
2006
IEEE
113views Hardware» more  AHS 2006»
13 years 8 months ago
A Honeycomb Development Architecture for Robust Fault-Tolerant Design
A new hardware developmental model that shows strong robust transient fault-tolerant abilities and is motivated by embryonic development and a honeycomb structure is presented. Ca...
Andy M. Tyrrell, Hong Sun
EH
2004
IEEE
105views Hardware» more  EH 2004»
13 years 8 months ago
Robust Sensor Systems using Evolvable Hardware
This paper describes a system that is robust with respect to sensor failure. The system utilizes multiple sensor inputs (three in this case) connected to a programmable device (FP...
James Hereford, Charles Pruitt
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 8 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...