System optimal compensators placement via immune multi-objective algorithm

  • Authors:

  • T. Y. Hwang;C. M. Tsai;T. L. Huang;C. C. Huang;Y. N. Lien;C. M. Chung;C. H. Chang

  • Affiliations:

  • Computer Science Department, National Taipei University of Education, Taipei, Taiwan, R.O.C.;Department of Electrical Engineering ,Chang-Gung University, Kwei-Shan, Tao-Yuan, Taiwan, R.O.C.;Computer Science Department, National Taipei University of Education, Taipei, Taiwan, R.O.C.;Computer Science Department, National Chengchi University, Taipei, Taiwan, R.O.C.;Computer Science Department, National Chengchi University, Taipei, Taiwan, R.O.C.;Computer Science Department, National Taipei University of Education, Taipei, Taiwan, R.O.C.;Computer Science Department, National Taipei University of Education, Taipei, Taiwan, R.O.C.

  • Venue:
  • WSEAS TRANSACTIONS on SYSTEMS
  • Year:
  • 2009

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Abstract

This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal compensator placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented. The proposed approach finds a set of non-inferior (Pareto) solutions rather than any single aggregated optimal solution. Additionally, this developed approach eliminates the need for any user-defined weight factor to aggregate all objectives. Comparative studies are conducted on an actual system with encouraging results, demonstrating the effectiveness of the proposed approach.