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» A hybrid approach to parameter tuning in genetic algorithms
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CAIP
2011
Springer
248views Image Analysis» more  CAIP 2011»
13 years 9 months ago
Statistical Tuning of Adaptive-Weight Depth Map Algorithm
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
Alejandro Hoyos, John Congote, Iñigo Barand...
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 2 months ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt
79
Voted
IPPS
2006
IEEE
15 years 3 months ago
Parallel genetic algorithm for SPICE model parameter extraction
Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
Yiming Li, Yen-Yu Cho
FOGA
1998
14 years 11 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
85
Voted
WCE
2007
14 years 10 months ago
Genetic Algorithm Optimized PI and Fuzzy Sliding Mode Speed Control for DTC Drives
— This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control...
Shady M. Gadoue, Damian Giaouris, J. W. Finch