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GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
13 years 8 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
ICPP
2007
IEEE
14 years 1 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
13 years 11 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
13 years 11 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
13 years 11 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