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GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
16 years 19 days ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 11 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
ICCAD
1995
IEEE
135views Hardware» more  ICCAD 1995»
15 years 11 months ago
An iterative improvement algorithm for low power data path synthesis
We address the problem of minimizing power consumption in behavioral synthesis of data-dominated circuits. The complex nature of power as a cost function implies that the effects ...
Anand Raghunathan, Niraj K. Jha
GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
15 years 8 months ago
The influence of scaling and assortativity on takeover times in scale-free topologies
In evolving systems, the topological characteristics of population structure have a pronounced impact on the rate of spread of advantageous alleles, and therefore affect selective...
Joshua L. Payne, Margaret J. Eppstein
BMCBI
2008
111views more  BMCBI 2008»
15 years 7 months ago
Comparative optimism in models involving both classical clinical and gene expression information
Background: In cancer research, most clinical variables have already been investigated and are now well established. The use of transcriptomic variables has raised two problems: r...
Caroline Truntzer, Delphine Maucort-Boulch, Pascal...