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83
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TVLSI
2008
90views more  TVLSI 2008»
15 years 20 days 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
110
Voted
GECCO
2003
Springer
15 years 6 months 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 5 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
91
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MOC
2000
105views more  MOC 2000»
15 years 17 days 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
125
Voted
EWSN
2009
Springer
16 years 1 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, ...