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ICAC
2009
IEEE
13 years 7 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 1 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
CVPR
2006
IEEE
15 years 11 hour ago
Efficient Optimal Kernel Placement for Reliable Visual Tracking
This paper describes a novel approach to optimal kernel placement in kernel-based tracking. If kernels are placed at arbitrary places, kernel-based methods are likely to be trappe...
Zhimin Fan, Ming Yang, Ying Wu, Gang Hua, Ting Yu
CEC
2005
IEEE
14 years 3 months ago
Ecology-inspired evolutionary algorithm using feasibility-based grouping for constrained optimization
When evolutionary algorithms are used for solving numerical constrained optimization problems, how to deal with the relationship between feasible and infeasible individuals can dir...
Ming Yuchi, Jong-Hwan Kim
SCOPES
2004
Springer
14 years 3 months ago
DSP Code Generation with Optimized Data Word-Length Selection
Digital signal processing applications are implemented in embedded systems with fixed-point arithmetic to minimize the cost and the power consumption. To reduce the application ti...
Daniel Menard, Olivier Sentieys