Multi-Objective Optimization Algorithm for Instrument Integrated Development

Guo Xin Wu; Xiao Li Xu

doi:10.4028/www.scientific.net/AMM.44-47.3487

Paper Titles

The Micro-Interaction Lauguage in Web-Base Collabarative Learning
p.3469

Estimation of Doppler Parameter for Formation-Flying Satellite SAR System
p.3473

Relationship between Kinematics Characteristics and Link Lengths in Crank-Rocker Linkages
p.3478

A Roadbed Earthwork Allocation Model Based on ACO Algorithm
p.3483

Multi-Objective Optimization Algorithm for Instrument Integrated Development
p.3487

Computer Aided Lung Nodule Detection on CT Data
p.3492

Neural-Fuzzy Control for Isolation Platform Based on Hexapod Parallel Mechanism
p.3497

Electro-Hydraulic Proportional Speed Control on Walking-Beam Conveyer
p.3502

Guiding Simulation Model Verification by Model Checking
p.3508

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Multi-Objective Optimization Algorithm for...

Multi-Objective Optimization Algorithm for Instrument Integrated Development

Abstract:

The integrated technology is the main way for the instrument development. The combination of networked collaborative design and multi-objective optimization method, considering the different product design and development of individual fitness degree, to provide the best integrated development for the product solution. The system of Flexible integrated knowledge management was built for networked collaborative design. The system architecture is flexible hub, to support the collaborative development of decision-making and optimal design of innovative integrated development. Innovative multi-objective optimization algorithm also was established based on networked collaborative design. It is realized to obtain fast convergence of the optimal solution set for Knowledge groups. The individual goals, to achieve the optimal design of integrated development, were achieved.

You might also be interested in these eBooks

Frontiers of Manufacturing and Design Science

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

3487-3491

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.3487

Citation:

Cite this paper

Online since:

December 2010

Authors:

Guo Xin Wu, Xiao Li Xu

Keywords:

Innovative Design, Instrument, Integrated Development, Multi-Objective Optimization (MOP)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] X. L. Xu, Y. B. Zuo, G. X. Wu. Flexible Developing System for Modern Instrument Manufacturing[J]. Journal of Beijing Instritute of Technology. 17(4): 388-394 (2008).

Google Scholar

[2] Tang Bo, Wang Gengchen, Wang Zhengfan. Analytical instruments and the introduction of instrumental analysis [J]. Beijing: Chemical Industry Press, (2005).

Google Scholar

[3] E. Sprow. Chrysler's Concurrent Engineering Challenge [J]. Manuufacturing Engineering, 108(4): 35-42 (1992).

Google Scholar

[4] X. Jia. A Distributed Software Architecture Design Framework Based on Attributed Grammar[J]. Journal of Zhejiang University Science, (6A): 513-518 (2005).

Google Scholar

[5] S. R. Qin. Intelligent Virtural Controls—New Concept of Virtual Instrument. Proceedings of 2nd ISIST[C], (1): 75-79 (2002).

Google Scholar

[6] E. Zitzler. L. Thiele. Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach [J]. IEEE Trans. Evolutionary Computation, 3(9): 257-271 (1999).

DOI: 10.1109/4235.797969

Google Scholar

[7] Jiao Licheng, Liu Jing, Zhong Wei before. Synergistic evolutionary computation and multi-agent system [M]. Beijing: Science Press, (2006).

Google Scholar

[8] K. Deb. S. Agrawal. A. Pratap, etal. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II. Kanpur [R]. Indian Institute of Technology Kanpur. KanGAL Rep. 200001, (2000).

DOI: 10.1007/3-540-45356-3_83

Google Scholar