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» Analysis and Optimization of CHR Programs
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114
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GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
14 years 8 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
121
Voted
ICDCS
2012
IEEE
13 years 19 days ago
Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing
—Cloud resources are usually priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three pricing schemes — the su...
Wei Wang, Baochun Li, Ben Liang
64
Voted
ICPR
2008
IEEE
15 years 4 months ago
Tree-serial dynamic programming for image processing
A lot of image analysis problems lend themselves to a unified mathematical formulation as optimization problems. Tree-serial dynamic programming is a particular case of the so-cal...
Andrey Kopylov
75
Voted
IFIP
1994
Springer
15 years 2 months ago
Evolving Algebras
We describe the architecture of an evolving algebra partial evaluator, a program which specializes an evolving algebra with respect to a portion of its input. We discuss the parti...
Yuri Gurevich
96
Voted
AOR
2010
14 years 7 months ago
Speeding up Stochastic Dynamic Programming with Zero-Delay Convolution
We show how a technique from signal processing known as zero-delay convolution can be used to develop more efficient dynamic programming algorithms for a broad class of stochastic...
Brian C. Dean