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171
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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 6 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
VLDB
2007
ACM
225views Database» more  VLDB 2007»
16 years 5 months ago
An Approach to Optimize Data Processing in Business Processes
In order to optimize their revenues and profits, an increasing number of businesses organize their business activities in terms of business processes. Typically, they automate imp...
Marko Vrhovnik, Holger Schwarz, Oliver Suhre, Bern...
166
Voted
RTSS
1999
IEEE
15 years 9 months ago
Optimal Reward-Based Scheduling of Periodic Real-Time Tasks
Reward-based scheduling refers to the problem in which there is a reward associated with the execution of a task. In our framework, each real-time task comprises a mandatory and a...
Hakan Aydin, Rami G. Melhem, Daniel Mossé, ...
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 11 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
ICC
2007
IEEE
137views Communications» more  ICC 2007»
15 years 11 months ago
Optimality and Complexity of Opportunistic Spectrum Access: A Truncated Markov Decision Process Formulation
— We consider opportunistic spectrum access (OSA) which allows secondary users to identify and exploit instantaneous spectrum opportunities resulting from the bursty traffic of ...
Dejan V. Djonin, Qing Zhao, Vikram Krishnamurthy