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Multidimensional Scaling Using Parallel Genetic Algorithm

In: Computer Aided Methods In Optimal Design And Operations

Author

Listed:
  • A. VARONECKAS

    (Vytautas Magnus University, Vileikos 8, Kaunas LT-44404, Lithuania)

  • A. ŽILINSKAS

    (Institute of Mathematics and Informatics, Akademijos 4, Vilnius LT-08663, Lithuania)

  • J. ŽILINSKAS

    (Institute of Mathematics and Informatics, Akademijos 4, Vilnius LT-08663, Lithuania)

Abstract

Multidimensional scaling is a technique for visualization of multidimensional data. A difficult global optimization problem should be solved to minimize the error of visualization. Parallel genetic global optimization algorithm for multidimensional scaling is implemented to enable solution of large scale problems in acceptable time. Results of visualization using high performance computer and cluster of personal computers are presented.

Suggested Citation

  • A. Varoneckas & A. Žilinskas & J. Žilinskas, 2006. "Multidimensional Scaling Using Parallel Genetic Algorithm," World Scientific Book Chapters, in: I D L Bogle & J Žilinskas (ed.), Computer Aided Methods In Optimal Design And Operations, chapter 14, pages 129-138, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812772954_0014
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