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CCGRID
2003
IEEE
15 years 8 months ago
Distributed Computing with Hierarchical Master-worker Paradigm for Parallel Branch and Bound Algorithm
This paper discusses the impact of the hierarchical master-worker paradigm on performance of an application program, which solves an optimization problem by a parallel branch and ...
Kento Aida, Wataru Natsume, Yoshiaki Futakata
CORR
2011
Springer
188views Education» more  CORR 2011»
14 years 10 months ago
Digraph description of k-interchange technique for optimization over permutations and adaptive algorithm system
The paper describes a general glance to the use of element exchange techniques for optimization over permutations. A multi-level description of problems is proposed which is a fund...
Mark Sh. Levin
ICASSP
2008
IEEE
15 years 9 months ago
Learning the kernel via convex optimization
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
ALDT
2009
Springer
142views Algorithms» more  ALDT 2009»
15 years 9 months ago
Finding Best k Policies
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Peng Dai, Judy Goldsmith
ICC
2008
IEEE
161views Communications» more  ICC 2008»
15 years 9 months ago
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization
—This paper concerns the problem of finding the minimum-length TDMA frame of a power-controlled wireless network subject to traffic demands and SINR (signalto-interference-plus...
Liqun Fu, Soung Chang Liew, Jianwei Huang