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FGCS
2010
119views more  FGCS 2010»
13 years 7 months ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
KBSE
1997
IEEE
14 years 1 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
ACCV
2007
Springer
14 years 3 months ago
Optimal Algorithms in Multiview Geometry
This is a survey paper summarizing recent research aimed at finding guaranteed optimal algorithms for solving problems in Multiview Geometry. Many of the traditional problems in M...
Richard I. Hartley, Fredrik Kahl
HIS
2009
13 years 7 months ago
Improved Harmony Search for Economic Power Dispatch
This paper presents a novel optimization approach using Improved Harmony Search (IHS) algorithm to solve economic power dispatch problem. The proposed methodology easily takes care...
V. Ravikumar Pandi, Bijaya K. Panigrahi, Manas Kum...
CEC
2010
IEEE
13 years 7 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...