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» A Data Locality Optimizing Algorithm
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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
15 years 8 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
136
Voted
AE
2005
Springer
15 years 9 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
123
Voted
ENGL
2008
118views more  ENGL 2008»
15 years 3 months ago
Hybrid Architecture of Genetic Algorithm and Simulated Annealing
This paper discusses novel dedicated hardware architecture for hybrid optimization based on Genetic algorithm (GA) and Simulated Annealing (SA). The proposed architecture achieves ...
Masaya Yoshikawa, Hironori Yamauchi, Hidekazu Tera...
GECCO
2007
Springer
236views Optimization» more  GECCO 2007»
15 years 9 months ago
A discrete differential evolution algorithm for the permutation flowshop scheduling problem
In this paper, a novel discrete differential evolution (DDE) algorithm is presented to solve the permutation flowhop scheduling problem with the makespan criterion. The DDE algori...
Quan-Qe Pan, Mehmet Fatih Tasgetiren, Yun-Chia Lia...
101
Voted
FLAIRS
2003
15 years 4 months ago
On the Computation of Local Interchangeability in Soft Constraint Satisfaction Problems
Freuder in (1991) defined interchangeability for classical Constraint Satisfaction Problems (CSPs). Recently (2002), we extended the definition of interchangeability to Soft CSP...
Nicoleta Neagu, Stefano Bistarelli, Boi Faltings