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AAAI
2007
15 years 9 months ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge
IJCAI
2007
15 years 8 months ago
On Modeling Multiagent Task Scheduling as a Distributed Constraint Optimization Problem
This paper investigates how to represent and solve multiagent task scheduling as a Distributed Constraint Optimization Problem (DCOP). Recently multiagent researchers have adopted...
Evan Sultanik, Pragnesh Jay Modi, William C. Regli
161
Voted
AAAI
2006
15 years 8 months ago
Optimal Scheduling of Contract Algorithms for Anytime Problems
A contract algorithm is an algorithm which is given, as part of the input, a specified amount of allowable computation time. The algorithm must then compute a solution within the ...
Alejandro López-Ortiz, Spyros Angelopoulos,...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 8 months ago
A differential evolution algorithm for optimizing signal compression and reconstruction transforms
State-of-the-art image compression and reconstruction techniques utilize wavelets. Beginning in 2004, however, a team of researchers at Wright-Patterson Air Force Base (WPAFB), the...
Frank W. Moore, Brendan J. Babb
269
Voted
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 8 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder