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» Evolving Quantum Circuits Using Genetic Algorithm
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NIPS
2001
15 years 3 months ago
An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
15 years 3 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
132
Voted
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
15 years 3 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
92
Voted
BIOSYSTEMS
2007
52views more  BIOSYSTEMS 2007»
15 years 2 months ago
The genotypic complexity of evolved fault-tolerant and noise-robust circuits
Noise and component failure is an increasingly difficult problem in modern electronic design. Bioinspired techniques is one approach that is applied in an effort to solve such is...
Morten Hartmann, Pauline C. Haddow, Per Kristian L...
AHS
2006
IEEE
113views Hardware» more  AHS 2006»
15 years 6 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