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SODA
2008
ACM
101views Algorithms» more  SODA 2008»
13 years 8 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
ICDCS
2010
IEEE
13 years 11 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
WEBDB
2007
Springer
126views Database» more  WEBDB 2007»
14 years 1 months ago
Towards a Content-Provider-Friendly Web Page Crawler
Search engine quality is impacted by two factors: the quality of the ranking/matching algorithm used and the freshness of the search engine’s index, which maintains a “snapsho...
Jie Xu, Qinglan Li, Huiming Qu, Alexandros Labrini...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 8 months ago
A study of NK landscapes' basins and local optima networks
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces [5]. We use the well-known fami...
Gabriela Ochoa, Marco Tomassini, Sébastien ...
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
14 years 1 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles