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CIA
2007
Springer
15 years 3 months ago
Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks
Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...
Avi Rosenfeld, Sarit Kraus, Charlie Ortiz
FGCS
2007
160views more  FGCS 2007»
14 years 9 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
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MATES
2007
Springer
15 years 3 months ago
Coordinating Competitive Agents in Dynamic Airport Resource Scheduling
In real-life multi-agent planning problems, long-term plans will often be invalidated by changes in the environment during or after the planning process. When this happens, short-t...
Xiaoyu Mao, Adriaan ter Mors, Nico Roos, Cees Witt...
ICRA
2005
IEEE
189views Robotics» more  ICRA 2005»
15 years 3 months ago
Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space
- Intelligent Space (iSpace) is a space (room, corridor, or street), which has distributed sensory and mobile agents, that is capable to provide intelligent services. In this paper...
Rangsarit Vanijjirattikhan, Mo-Yuen Chow, Peter Ta...
IPPS
1999
IEEE
15 years 1 months ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...