Comparable Experiments Study on the Embedded Optimization Methodology of Self-Organizing

Abstract:

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In the previous research, a novel embedded multi-phase optimization methodology was proposed to solve the NC-hard difficulty of self-organizing system involving the complex correlated constraints, which has been theoretically verified. This paper takes a serial of comparable experiments to demonstrate the efficiency of the previously proposed novel methodology. First, the description of the universal problem is given, based which the mathematic model for the self-organizing system is elected. Second, a detailed example that includes complex correlated relationship is suggested. Finally, the detailed experiments verify the correct of the proposed methodology, which integrates these two sub optimization problems into a searching loop to ensure the feasibility of solution and improve the searching efficiency in the complex correlated system, with the graphics, figures, and tables.

Info:

Periodical:

Advanced Materials Research (Volumes 181-182)

Edited by:

Qi Luo and Yuanzhi Wang

Pages:

744-748

DOI:

10.4028/www.scientific.net/AMR.181-182.744

Citation:

Y. B. Luo and M. C. Tang, "Comparable Experiments Study on the Embedded Optimization Methodology of Self-Organizing", Advanced Materials Research, Vols. 181-182, pp. 744-748, 2011

Online since:

January 2011

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Price:

$35.00

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