Paper Title:
Multiobjective Optimization Using Fitness Function and Sequence Approximate Technology
  Abstract

In order to obtain well-distributed Pareto front with less number of high-fidelity analysis during simulation optimization, a Pareto multiobjective optimization method is put forward by combining the fitness function and sequence approximate technology. Research shows that better Pareto points can be identified for the multiobjective optimization problems with convex, nonconvex or discontinue Pareto front, and the number of high-fidelity analysis can be largely reduced.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
1192-1195
DOI
10.4028/www.scientific.net/AMR.139-141.1192
Citation
Z. S. Jiang, H. Jiang, "Multiobjective Optimization Using Fitness Function and Sequence Approximate Technology", Advanced Materials Research, Vols. 139-141, pp. 1192-1195, 2010
Online since
October 2010
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Price
$32.00
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