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EC
2008
164views ECommerce» more  EC 2008»
13 years 8 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
EUROPAR
2004
Springer
13 years 12 months ago
Lookahead Scheduling for Reconfigurable GRID Systems
Abstract This paper proposes an approach to continuously optimizing parallel scientific applications with dynamically changing architectures. We achieve this by combining a dynamic...
Jesper Andersson, Morgan Ericsson, Welf Löwe,...
AIPS
2009
13 years 9 months ago
Incremental Policy Generation for Finite-Horizon DEC-POMDPs
Solving multiagent planning problems modeled as DECPOMDPs is an important challenge. These models are often solved by using dynamic programming, but the high resource usage of cur...
Christopher Amato, Jilles Steeve Dibangoye, Shlomo...
CODES
2001
IEEE
13 years 12 months ago
Hybrid global/local search strategies for dynamic voltage scaling in embedded multiprocessors
In this paper, we explore a hybrid global/local search optimization framework for dynamic voltage scaling in embedded multiprocessor systems. The problem is to find, for a multipr...
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...
ICCV
2009
IEEE
15 years 1 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen