Paper Title:
Blower Resource Scheduling Based on Elite Genetic Algorithm
  Abstract

Now, our sewage treatment industry mainly depends on the blower of aeration act as metabolic, absorbed in the toxic substances. Blower resources management is the key issue of sewage treatment. Traditional resource scheduling algorithm exist some defects, for example it can not well meet the quality requirements and can not get the optimal solution. This article gives a new resource scheduling method based on improved genetic algorithm. It achieves grid resource scheduling by using real number encoding and activities point crossover. Experiments show that genetic algorithm can reduce executing time and task completion time, and further improve the scalability of resource scheduling model. This algorithm has stability and high efficiency in grid environment.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
591-595
DOI
10.4028/www.scientific.net/AMR.219-220.591
Citation
G. N. Yang, W. Qi, J. Zhou, "Blower Resource Scheduling Based on Elite Genetic Algorithm", Advanced Materials Research, Vols. 219-220, pp. 591-595, 2011
Online since
March 2011
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Price
$32.00
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