A Multi Autonomic Objects Flexible Workflow and its Knowledge Acquisition Supporting Engineering Design Process

Abstract:

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In order to support the dynamic and creative Engineering Design Process (EDP) comprehensively, after a detailed literature review, a multi autonomic objects (AO) flexible workflow is applied into the supporting and management of EDP, its support for decision making, EDP evolution and design activity granularity is explained, finally and most importantly, a genetic algorithm-based AO knowledge learning method is proposed, the algorithm is demonstrated by a MATLAB simulation that it can satisfy the knowledge acquisition in EDP satisfactorily.

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Edited by:

Zhengyi Jiang and Chunliang Zhang

Pages:

3341-3344

DOI:

10.4028/www.scientific.net/AMR.97-101.3341

Citation:

D. B. Wang et al., "A Multi Autonomic Objects Flexible Workflow and its Knowledge Acquisition Supporting Engineering Design Process", Advanced Materials Research, Vols. 97-101, pp. 3341-3344, 2010

Online since:

March 2010

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Price:

$35.00

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