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TOMCCAP
2008
112views more  TOMCCAP 2008»
15 years 6 months ago
Scalable on-demand media streaming for heterogeneous clients
Periodic broadcast protocols enable the efficient streaming of highly popular media files to large numbers of concurrent clients. Most previous periodic broadcast protocols, howeve...
Phillipa Gill, Liqi Shi, Anirban Mahanti, Zongpeng...
ASC
2004
15 years 5 months ago
Solving nonconvex climate control problems: pitfalls and algorithm performances
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
Carmen G. Moles, Julio R. Banga, Klaus Keller
EC
2000
96views ECommerce» more  EC 2000»
15 years 5 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
INFOCOM
2012
IEEE
13 years 8 months ago
Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones
Abstract—In this paper, we propose to leverage cloud computing to tame resource-poor mobile devices. Specifically, mobile applications can be executed in the mobile device (know...
Yonggang Wen, Weiwen Zhang, Haiyun Luo
EMO
2009
Springer
159views Optimization» more  EMO 2009»
16 years 18 days ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel