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» Optimization of Job Schedule Model Based on Grid Environment
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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
JAL
2006
101views more  JAL 2006»
13 years 7 months ago
Semi-matchings for bipartite graphs and load balancing
We consider the problem of fairly matching the left-hand vertices of a bipartite graph to the right-hand vertices. We refer to this problem as the optimal semimatching problem; it...
Nicholas J. A. Harvey, Richard E. Ladner, Lá...
HCW
1999
IEEE
13 years 11 months ago
Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Raju D. Venkataramana, N. Ranganathan
ICCS
2005
Springer
14 years 1 months ago
The Dynamics of Computing Agent Systems
The paper presents the Multi Agent System (MAS) designed for the large scale parallel computations. The special kind of diffusionbased scheduling enables to decompose and allocate...
Maciej Smolka, Piotr Uhruski, Robert Schaefer, Mar...
IAT
2003
IEEE
14 years 24 days ago
Problem-solving in open environments
With the increasing use of the internet, many problemsolving tasks such as resource allocation, scheduling, planning, and configuration pose themselves in an open setting involvi...
Santiago Macho-Gonzalez, Boi Faltings