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» On the practical genetic algorithms
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GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
14 years 11 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...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
IJIT
2004
14 years 11 months ago
Synthesis of Logic Circuits Using Fractional-Order Dynamic Fitness Functions
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuit...
Cecília Reis, José António Te...
CGO
2011
IEEE
14 years 1 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
CORR
2008
Springer
95views Education» more  CORR 2008»
14 years 10 months ago
Explicit Learning: an Effort towards Human Scheduling Algorithms
Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approach...
Jingpeng Li, Uwe Aickelin