Solving Expensive Multi-Objective Optimization Problems by Kriging Model with Multi-Point Updating Strategy

Ding Han; Jian Rong Zheng

doi:10.4028/www.scientific.net/AMM.685.667

Paper Titles

Development of the Teaching Games System Based on Mobile Learning
p.651

Research on Subway Fire Emergency System Based on Virtual Roaming
p.655

A New Certificateless Forward Secure Proxy Signcryption Scheme
p.659

Research on ID-Based Proxy Re-Signcryption Scheme
p.663

Solving Expensive Multi-Objective Optimization Problems by Kriging Model with Multi-Point Updating Strategy
p.667

The Design and Application of Monitoring Framework Based on AOP
p.671

A Flow Monitor with Deployment Strategy Based on Traffic Matrix Estimation
p.676

Rapid Development Platform of NC Turrets Based on the Construction of B/S
p.684

Improving Workshop’s Production Efficiency by Applying Industrial Engineering Methods
p.693

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 685Solving Expensive Multi-Objective Optimization...

Solving Expensive Multi-Objective Optimization Problems by Kriging Model with Multi-Point Updating Strategy

Abstract:

A method which utilizes Kriging model and a multi-point updating strategy is put forward for solving expensive multi-objective optimization problems. Assisted by a defined cheaper multi-objective optimization problem and a maximum average distance criterion, multiple updating points can be found. The proposed method is tested on two numerical functions and a ten-bar truss problem, the results show that the proposed method is efficient in obtaining Pareto optimal solutions with good convergence and diversity when the same computation resource is used comparing with two other methods.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 685)

Pages:

667-670

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.685.667

Citation:

Cite this paper

Online since:

October 2014

Authors:

Ding Han, Jian Rong Zheng*

Keywords:

Kriging, Multi-Objective Optimization (MOP), Multi-Point Updating Strategy

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] D.R. Jones, M. Schonlau and W.J. Welch: J. Global Optimization., Vol. 13 (1998) No. 4, pp.455-462.

Google Scholar

[2] J. Knowles: Transactions on Evolutionary Computation, Vol. 10(2006) No. 1, pp.50-66.

Google Scholar

[3] A.J. Keane: AIAA Journal, Vol. 44(2006) No. 4, pp.879-891.

Google Scholar

[4] E. Zitzler, M. Laumanns and L. Thiele: Evolutionary Methods for Design Optimization and Control with Applications to Industrial Problems (Athens, Greece, 2001), pp.95-100.

Google Scholar

[5] J.R. Kalagnanam, U.M. Diwekar: Technometrics, Vol. 39(1997), N0. 3, pp.308-319.

Google Scholar

[6] K. Deb: Multi-objective optimization using evolutionary algorithms (John Wiley &Sons, England 2001).

Google Scholar