JOURNAL ARTICLE
Min-Min Chromosome Genetic Algorithm for Load Balancing in Grid Computing
Year: 2009 Journal: International Journal of Distributed Sensor Networks Vol: 5 (1)Pages: 62-63 Publisher: Hindawi Publishing Corporation
Abstract
Load balancing is a very important and complex problem in grid computing. This paper studies Min-min chromosome genetic algorithm (MCGA) to gauge their suitability for solving grid load balancing problems. The effectiveness of the MCGA algorithm is shown for a number of test problems. Performance comparisons with Min-min, and genetic algorithm are also discussed.
Keywords:
Computer science Load balancing (electrical power) Grid Genetic algorithm Algorithm Grid computing Chromosome Distributed computing Machine learning Mathematics
Metrics
7
Cited By
1.03
FWCI (Field Weighted Citation Impact)
0
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Distributed and Parallel Computing Systems
Physical Sciences → Computer Science → Computer Networks and Communications
Parallel Computing and Optimization Techniques
Physical Sciences → Computer Science → Hardware and Architecture
Metaheuristic Optimization Algorithms Research
Physical Sciences → Computer Science → Artificial Intelligence
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