Searching for authors named "Panagiotis Adamidis" – sorted by Relevance.
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Co-operating populations - Improving the performance of Parallel Genetic Algorithms with Co-operating populations with different evolution behaviours
- A framework for unifying Simple and Parallel Genetic Algorithm implementations as Co-operating Populations is presented. Using this framework, a method called Co-operating Populations with Different Evolution Behaviours (CoPDEB), for generalizing and improving the performance of Parallel Genetic Alg
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Review of Parallel Genetic Algorithms Bibliography - Version 1
- . Abstract. The availability of faster and cheaper parallel computers makes it possible to apply genetic algorithms to large populations and very complex applications. This report presents a survey of current implementation techniques for genetic algorithms on parallel hardware. 1. Introduction 1. I
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Parallel Evolutionary Algorithms: A Review
- During recent years the area of Evolutionary Algorithms (EAs) in general and the field of Parallel Evolutionary Algorithms (PEA) in particular has matured up to a point, where the application to a complex real-world problem in some applied science is now potentially feasible and to the benefit of bo
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Evolutionary Data Mining Applied to TV Databases: A First Approach
- Recently, Evolutionary Algorithms (EAs) have been applied with very good results to various types of data mining problems. This paper presents the initial results of our work on data mining from TV program databases using EAs. We compare the performance of different operators and different operator
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GriCoL: A Language for Scientific Grids
- The development of the Grid has opened new possibilities for scientists and engineers to execute large-scale modeling experiments. This has stimulated the generation and development of tools for the creation and management of complex computing experiments in the Grid. Among these, tools for the auto
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Panagiotis Adamidis
- . Abstract. The availability of faster and cheaper parallel computers makes it possible to apply genetic algorithms to large populations and very complex applications. This report presents a survey of current implementation techniques for genetic algorithms on parallel hardware. 1. Introduction
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Parallel I/O performance characterization of Columbia and NEC SX-8 superclusters
- Abstract: Many scientific applications running on today’s supercomputers deal with increasingly large data sets and are correspondingly bottlenecked by the time it takes to read or write the data from/to the file system. We therefore undertook a study to characterize the parallel I/O performance of
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Performance evaluation of supercomputers using hpcc and imb benchmarks
- The HPC Challenge (HPCC) benchmark suite and the Intel MPI Benchmark (IMB) are used to compare and evaluate the combined performance of processor, memory subsystem and interconnect fabric of five leading
- Cited by 2 (0 self) – Add To MetaCart

