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ENTCS
2007
121views more  ENTCS 2007»
15 years 1 months ago
Incremental Parametric Development of Greedy Algorithms
The event B method provides a general framework for modelling both data structures and algorithms. B models are validated by discharging proof obligations ensuring safety properti...
Dominique Cansell, Dominique Méry
NA
2008
144views more  NA 2008»
15 years 1 months ago
Another hybrid conjugate gradient algorithm for unconstrained optimization
Another hybrid conjugate gradient algorithm is subject to analysis. The parameter k is computed as a convex combination of HS k (Hestenes-Stiefel) and DY k (Dai-Yuan) algorithms, i...
Neculai Andrei
MTA
2006
195views more  MTA 2006»
15 years 1 months ago
An efficient and robust algorithm for 3D mesh segmentation
Abstract This paper presents an efficient and robust algorithm for 3D mesh segmentation. Segmentation is one of the main areas of 3D object modeling. Most segmentation methods deco...
Lijun Chen 0003, Nicolas D. Georganas
APIN
2005
92views more  APIN 2005»
15 years 1 months ago
A Hybrid Neural-Genetic Algorithm for the Frequency Assignment Problem in Satellite Communications
A hybrid Neural-Genetic algorithm (NG) is presented for the frequency assignment problem in satellite communications (FAPSC). The goal of this problem is minimizing the cochannel i...
Sancho Salcedo-Sanz, Carlos Bousoño-Calz&oa...
TEC
2008
88views more  TEC 2008»
15 years 1 months ago
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
This paper describes a simulated annealing based multiobjective optimization algorithm that incorporates the concept of archive in order to provide a set of tradeoff solutions for ...
Sanghamitra Bandyopadhyay, Sriparna Saha, Ujjwal M...
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