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CPHYSICS
2006
204views more  CPHYSICS 2006»
15 years 2 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
112
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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 8 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
123
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ITS
2000
Springer
116views Multimedia» more  ITS 2000»
15 years 6 months ago
An Adaptive, Collaborative Environment to Develop Good Habits in Programming
In this paper we discuss how computer supported collaborative learning (CSCL) can be deployed to develop new skills and habits in students at university level. These considerations...
Aurora Vizcaíno, Juan Contreras-Castillo, J...
117
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ISSTA
2006
ACM
15 years 8 months ago
Object distance and its application to adaptive random testing of object-oriented programs
Testing with random inputs can give surprisingly good results if the distribution of inputs is spread out evenly over the input domain; this is the intuition behind Adaptive Rando...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...
122
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IPPS
2009
IEEE
15 years 9 months ago
A cross-input adaptive framework for GPU program optimizations
Abstract—Recent years have seen a trend in using graphic processing units (GPU) as accelerators for general-purpose computing. The inexpensive, single-chip, massively parallel ar...
Yixun Liu, Eddy Z. Zhang, Xipeng Shen