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CCGRID
2003
IEEE
15 years 10 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
180
Voted
CORR
2011
Springer
188views Education» more  CORR 2011»
15 years 2 days 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 11 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 11 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 11 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