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» How optimal is the genetic code
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88
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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 6 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
112
Voted
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
15 years 4 months ago
Linguistic Rule Extraction by Genetics-Based Machine Learning
This paper shows how linguistic classification knowledge can be extracted from numerical data for pattern classification problems with many continuous attributes by genetic algori...
Hisao Ishibuchi, Tomoharu Nakashima
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 2 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
131
Voted
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 6 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
GECCO
2004
Springer
15 years 6 months ago
Evolving Quantum Circuits and Programs Through Genetic Programming
Abstract. Spector et al. have shown [1],[2],[3] that genetic programming can be used to evolve quantum circuits. In this paper, we present new results in this field, introducing p...
Paul Massey, John A. Clark, Susan Stepney