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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 11 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
EVOW
2007
Springer
16 years 9 days ago
Genetic Representations for Evolutionary Minimization of Network Coding Resources
Abstract. We demonstrate how a genetic algorithm solves the problem of minimizing the resources used for network coding, subject to a throughput constraint, in a multicast scenario...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
CEC
2009
IEEE
16 years 27 days ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
BMCBI
2008
144views more  BMCBI 2008»
15 years 6 months ago
Local conservation scores without a priori assumptions on neutral substitution rates
Background: Comparative genomics aims to detect signals of evolutionary conservation as an indicator of functional constraint. Surprisingly, results of the ENCODE project revealed...
Janis Dingel, Pavol Hanus, Niccolò Leonardi...
PARA
2004
Springer
15 years 11 months ago
A Family of High-Performance Matrix Multiplication Algorithms
During the last half-decade, a number of research efforts have centered around developing software for generating automatically tuned matrix multiplication kernels. These include ...
John A. Gunnels, Fred G. Gustavson, Greg Henry, Ro...