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GECCO
2004
Springer
15 years 7 months ago
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...
IJCNN
2008
IEEE
15 years 8 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
105
Voted
FSS
2002
84views more  FSS 2002»
15 years 1 months ago
A possibilistic approach to selecting portfolios with highest utility score
The mean-variance methodology for the portfolio selection problem, originally proposed by Markowitz, has been one of the most important research fields in modern finance. In this ...
Christer Carlsson, Robert Fullér, Pé...
ICPR
2000
IEEE
16 years 3 months ago
Optimal Range Segmentation Parameters through Genetic Algorithms
A wide number of algorithmsfor surjtiacesegmentationin range images have been recentlyproposed characterizedby different approaches (edgefilling, regiongrowing, ...), different su...
Luigi Cinque, Stefano Levialdi, Gianluca Pignalber...
CEC
2008
IEEE
15 years 8 months ago
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies
Abstract—While scalarization approaches to multicriteria optimization become infeasible in the case of many objectives, for few objectives the benefits of populationbased method...
Thomas Voß, Nicola Beume, Günter Rudolp...