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» On the Convergence of Bound Optimization Algorithms
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206
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JSAC
2006
96views more  JSAC 2006»
15 years 7 months ago
Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...
Jang-Won Lee, Mung Chiang, A. Robert Calderbank
COMPGEOM
2006
ACM
15 years 9 months ago
On the ICP algorithm
We present upper and lower bounds for the number of iterations performed by the Iterative Closest Point (ICP) algorithm. This algorithm has been proposed by Besl and McKay [4] as ...
Esther Ezra, Micha Sharir, Alon Efrat
219
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ICALP
2003
Springer
16 years 6 days ago
Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Jens Jägersküpper
180
Voted
MSWIM
2004
ACM
16 years 12 days ago
Scalable simulation of large-scale wireless networks with bounded inaccuracies
Discrete event network simulators have emerged as popular tools for verification and performance evaluation for various wireless networks. Nevertheless, the desire to model such ...
Zhengrong Ji, Junlan Zhou, Mineo Takai, Rajive Bag...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
16 years 1 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart