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TEC
2008
165views more  TEC 2008»
15 years 7 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
JC
2007
109views more  JC 2007»
15 years 7 months ago
Cubature formulas for function spaces with moderate smoothness
We construct simple algorithms for high-dimensional numerical integration of function classes with moderate smoothness. These classes consist of square-integrable functions over t...
Michael Gnewuch, René Lindloh, Reinhold Sch...
4OR
2004
79views more  4OR 2004»
15 years 7 months ago
Constrained auction clearing in the Italian electricity market
Most of the liberalized electricity systems use the auction as a market model. The complexity of the underlying optimization formulation depends on the technical and regulatory con...
Patrizia Beraldi, Domenico Conforti, Chefi Triki, ...
AI
2002
Springer
15 years 7 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
JCO
1998
136views more  JCO 1998»
15 years 6 months ago
A Greedy Randomized Adaptive Search Procedure for the Feedback Vertex Set Problem
Abstract. A Greedy Randomized Adaptive Search Procedure (GRASP) is a randomized heuristic that has produced high quality solutions for a wide range of combinatorial optimization pr...
Panos M. Pardalos, Tianbing Qian, Mauricio G. C. R...
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