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CIA
2007
Springer
16 years 25 days 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»
15 years 6 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
MATES
2007
Springer
16 years 24 days 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»
16 years 7 days 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 11 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. ...