A Novel Discovery Technique on Attribute Weight of Engine CBR Design System

Abstract:

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An improved multi-group self-adaptive evolutionary programming Algorithm is used to get adapt attribute weight for CBR system. Firstly, this paper analyses the adaptability function based on reference case base REF and testing case base TEST, develops a novel Bi-group self-adaptive evolutionary programming that overcome the lack of conventional evolutionary programming. In this Novel algorithm, evolution of Cauchy operator and Gauss operator are parallel performed with different mutation strategies, and the Gauss operator owns the ability of self-adaptation according to the variation of adaptability function. Information is exchanged when sub-groups are reorganized. Experiment results prove the validity of self-adaptive Algorithm and CBR design system is used successfully in engine design process.

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Edited by:

Zhengyi Jiang and Chunliang Zhang

Pages:

3714-3717

DOI:

10.4028/www.scientific.net/AMR.97-101.3714

Citation:

W. Yan et al., "A Novel Discovery Technique on Attribute Weight of Engine CBR Design System", Advanced Materials Research, Vols. 97-101, pp. 3714-3717, 2010

Online since:

March 2010

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Price:

$35.00

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