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ALDT
2009
Springer
142views Algorithms» more  ALDT 2009»
15 years 4 months ago
Finding Best k Policies
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Peng Dai, Judy Goldsmith
CEC
2005
IEEE
15 years 3 months ago
Sequential parameter optimization
Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate...
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike...
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 3 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov
TROB
2008
105views more  TROB 2008»
14 years 9 months ago
Optimal Motion Strategies for Range-Only Constrained Multisensor Target Tracking
Abstract--In this paper, we study the problem of optimal trajectory generation for a team of mobile sensors tracking a moving target using distance-only measurements. This problem ...
Ke X. Zhou, Stergios I. Roumeliotis
WAOA
2005
Springer
104views Algorithms» more  WAOA 2005»
15 years 3 months ago
The Online Target Date Assignment Problem
Abstract. Many online problems encountered in real-life involve a twostage decision process: upon arrival of a new request, an irrevocable firststage decision (the assignment of a...
Stefan Heinz, Sven Oliver Krumke, Nicole Megow, J&...