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» Optimizing Sorting with Genetic Algorithms
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IPPS
2002
IEEE
15 years 2 months ago
On Cost-Optimal Merge of Two Intransitive Sorted Sequences
The problem of merging two intransitive sorted sequences (that is, to generate a sorted total order without the transitive property) is considered. A cost-optimal parallel merging...
Jie Wu, Stephan Olariu
IEEEPACT
2007
IEEE
15 years 3 months ago
AA-Sort: A New Parallel Sorting Algorithm for Multi-Core SIMD Processors
Many sorting algorithms have been studied in the past, but there are only a few algorithms that can effectively exploit both SIMD instructions and threadlevel parallelism. In this...
Hiroshi Inoue, Takao Moriyama, Hideaki Komatsu, To...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
14 years 10 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
ICAPR
2005
Springer
15 years 3 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
73
Voted
ISAAC
2005
Springer
113views Algorithms» more  ISAAC 2005»
15 years 3 months ago
A Simple Optimal Randomized Algorithm for Sorting on the PDM
Abstract. The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottleneck that arises in the processing of massive data sets. Sorting has been extensively studied ...
Sanguthevar Rajasekaran, Sandeep Sen