Min-Min Chromosome Genetic Algorithm for Load Balancing in Grid Computing

Wanneng Shu and Jiangqing Wang

International Journal of Distributed Sensor Networks, 2009, vol. 5, issue 1, 62-63

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: Load balancing; Genetic algorithm (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:5:y:2009:i:1:p:62-63

DOI: 10.1080/15501320802554976

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