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TVLSI
2008
90views more  TVLSI 2008»
15 years 6 months ago
A Special-Purpose Architecture for Solving the Breakpoint Median Problem
Abstract--In this paper, we describe the design for a co-processor for whole-genome phylogenetic reconstruction. Our current design performs a parallelized breakpoint median comput...
Jason D. Bakos, Panormitis E. Elenis
GECCO
2003
Springer
16 years 6 days ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 11 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
MOC
2000
105views more  MOC 2000»
15 years 6 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
EWSN
2009
Springer
16 years 7 months ago
Solving the Wake-Up Scattering Problem Optimally
Abstract. In their EWSN'07 paper [1], Giusti et al. proposed a decentralized wake-up scattering algorithm for temporally spreading the intervals in which the nodes of a wirele...
Luigi Palopoli, Roberto Passerone, Amy L. Murphy, ...