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ENGL
2007
121views more  ENGL 2007»
13 years 10 months ago
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
Raymond Chiong, Ooi Koon Beng
IIS
2004
13 years 11 months ago
Conceptual Clustering Using Lingo Algorithm: Evaluation on Open Directory Project Data
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search hits list, returned from a search engine. In this paper we present t...
Stanislaw Osinski, Dawid Weiss
CGO
2011
IEEE
13 years 2 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
FSTTCS
2004
Springer
14 years 3 months ago
Join Algorithms for the Theory of Uninterpreted Functions
The join of two sets of facts, E1 and E2, is defined as the set of all facts that are implied independently by both E1 and E2. Congruence closure is a widely used representation f...
Sumit Gulwani, Ashish Tiwari, George C. Necula
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
14 years 3 months ago
Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design
Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some examples. In gene...
Alexandre C. B. Delbem, André Carlos Ponce ...