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FOGA
1998
15 years 3 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
ISQED
2011
IEEE
240views Hardware» more  ISQED 2011»
14 years 5 months ago
Fast optimization of nano-CMOS mixed-signal circuits through accurate metamodeling
—Design optimization methodologies for AMS-SoCs with analog, digital, and mixed-signal portions have not received significant attention, due to their high complexity. In mixed-s...
Oleg Garitselov, Saraju P. Mohanty, Elias Kougiano...
WABI
2004
Springer
106views Bioinformatics» more  WABI 2004»
15 years 7 months ago
Suboptimal Local Alignments Across Multiple Scoring Schemes
Abstract. Sequence alignment algorithms have a long standing tradition in bioinformatics. In this paper, we formulate an extension to existing local alignment algorithms: local ali...
Morris Michael, Christoph Dieterich, Jens Stoye
IGARSS
2010
14 years 9 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
EPIA
2007
Springer
15 years 8 months ago
A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem
Research in the field of examination timetabling has developed in two directions. The first looks at applying various methodologies to induce examination timetables. The second tak...
Nelishia Pillay, Wolfgang Banzhaf