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GECCO
2003
Springer
14 years 1 months ago
Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
Rodney Fry, Andrew M. Tyrrell
BIODATAMINING
2008
147views more  BIODATAMINING 2008»
13 years 8 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
KES
1999
Springer
14 years 22 days ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
IPPS
2006
IEEE
14 years 2 months ago
Parallel genetic algorithm for SPICE model parameter extraction
Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
Yiming Li, Yen-Yu Cho
ICNC
2009
Springer
14 years 3 months ago
Estimating Strength of Concrete Using a Grammatical Evolution
The main purpose of this paper is to propose an incorporating a grammatical evolution (GE) into the genetic algorithm (GA), called GEGA, and apply it to estimate the compressive s...
Hsun-Hsin Hsu, Li Chen, Chang-Huan Kou, Tai-Sheng ...