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» Heterogeneous Computing and Parallel Genetic Algorithms
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105
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GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
15 years 3 months ago
Empirical investigations on parallel competent genetic algorithms
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
134
Voted
ICPP
2007
IEEE
15 years 8 months ago
Improving Static Task Scheduling in Heterogeneous and Homogeneous Computing Systems
In this paper, we present a heuristic algorithm that improves the performance of static task scheduling. Our algorithm is based on the list-scheduling mechanism. For the listing p...
Chih-Hsueh Yang, PeiZong Lee, Yeh-Ching Chung
PPSN
1994
Springer
15 years 6 months ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe
HPDC
1995
IEEE
15 years 5 months ago
Loop Scheduling for Heterogeneity
In this paper, we study the problem of scheduling parallel loops at compile-time for a heterogeneous network of machines. We consider heterogeneity in three aspects of parallel pr...
Michal Cierniak, Wei Li, Mohammed Javeed Zaki
KES
1999
Springer
15 years 6 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli