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» Heterogeneous Computing and Parallel Genetic Algorithms
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KES
1999
Springer
13 years 10 months ago
Parallel genetic algorithm taxonomy
—Genetic Algorithms (GAs) are powerful search techniques that are used to solve difficult problems in many disciplines. Unfortunately, they can be very demanding in terms of com...
Mariusz Nowostawski, Riccardo Poli
EGC
2005
Springer
13 years 11 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
AIR
2005
130views more  AIR 2005»
13 years 5 months ago
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynam...
Andrew J. Page, Thomas J. Naughton
ISPAN
1999
IEEE
13 years 10 months ago
Evaluation of a Semi-Static Approach to Mapping Dynamic Iterative Tasks onto Heterogeneous Computing Systems
To minimize the execution time of an iterative application in a heterogeneous parallel computing environment, an appropriate mapping scheme is needed for matching and scheduling th...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay ...
LSGRID
2004
Springer
13 years 11 months ago
Mega Process Genetic Algorithm Using Grid MP
In this study, a new Genetic Algorithm (GA) using the Tabu · Local Search mechanism is proposed. The GA described in this paper is considered a Mega Process GA, which has an effe...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki,...