[1] Fu Wujun, Zhu Changming, Ye Qingtai,. Multi-objective integrated optimizationbased on evolutionary strategy with a dynamic weighting schedule [J]. Journal of Southeast University (English Edition), 2006, 22 (2): 204-207. [doi:10.3969/j.issn.1003-7985.2006.02.013]

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Multi-objective integrated optimizationbased on evolutionary strategy with a dynamic weighting schedule()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

22

Issue:

2006 2

Page:

204-207

Research Field:

Traffic and Transportation Engineering

Publishing date:

2006-06-30

Info

Title:

Multi-objective integrated optimizationbased on evolutionary strategy with a dynamic weighting schedule

Author(s):

Fu Wujun;  Zhu Changming;  Ye Qingtai

School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030, China

Keywords:

integrated design;  multi-objective optimization;  evolutionary strategy;  dynamic weighting schedule;  suspension system

PACS:

U463.33

DOI:

10.3969/j.issn.1003-7985.2006.02.013

Abstract:

The evolutionary strategy with a dynamic weighting schedule is proposed to find all the compromised solutions of the multi-objective integrated structure and control optimization problem, where the optimal system performance and control cost are defined by H₂ 2or H_∞ norms.During this optimization process, the weights are varying with the increasing generation instead of fixed values. The proposed strategy together with the linear matrix inequality(LMI)or the Riccati controller design method can find a series of uniformly distributed non-dominated solutions in a single run.Therefore, this method can greatly reduce the computation intensity of the integrated optimization problem compared with the weight-based single objective genetic algorithm.Active automotive suspension is adopted as an example to illustrate the effectiveness of the proposed method.

References:

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[8] Wang Xiaoping, Cao Lining.Genetic algorithm—theory, application and software implementation [M].Xi’an:Xi’an Jiaotong University Press, 1998.(in Chinese)
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Memo

Memo:

Biographies: Fu Wujun(1973—), male, graduate;Zhu Changming(corresponding author), male, professor, zhuchangming@sjtu.edu.cn.

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