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» Parallelism and evolutionary algorithms
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183
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CP
2005
Springer
15 years 8 months ago
Evolving Variable-Ordering Heuristics for Constrained Optimisation
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
Stuart Bain, John Thornton, Abdul Sattar
GEM
2008
15 years 8 months ago
Initial Population Diversity Does Not Influence Performance
- It is widely believed that greater initial population diversity leads to improved performance in genetic algorithms. However, this assumption has not been rigorously tested previ...
Pedro A. Diaz-Gomez, Dean F. Hougen
162
Voted
PDP
2007
IEEE
16 years 29 days ago
Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations
Heterogeneous networks of workstations have rapidly become a cost-effective computing solution in many application areas. This paper develops several highly innovative parallel al...
Antonio Plaza, David Valencia, Soraya Blazquez, Ja...
IPPS
2000
IEEE
15 years 11 months ago
A Requirements Analysis for Parallel KDD Systems
Abstract. The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of th...
William Maniatty, Mohammed Javeed Zaki
IPPS
1998
IEEE
15 years 11 months ago
SIMD and Mixed-Mode Implementations of a Visual Tracking Algorithm
This paper describes the implementation of a featurebased visual tracking algorithm on a SIMD MasPar MP-1 and the mixed-mode PASM prototype. The sequential algorithm is introduced...
Mark Bernd Kulaczewski, Howard Jay Siegel