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Differential Evolution Applied to Large Scale Parametric Interval Linear Systems

  • Jerzy Duda
  • Iwona Skalna
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7116)

Abstract

Differential evolution (DE) is regarded to be a very effective optimisation method for continuous problems in terms of both good optimal solution approximation and short computation time. The authors applied DE method to the problem of solving large scale interval linear systems. Different variants of DE were compared and different strategies were used to ensure that candidate solutions generated in the process of recombination mechanism were always feasible. For the large scale problems the method occurred to be very sensitive to the constraint handling strategy used, so finding an appropriate strategy was very important to achieve good solutions in a reasonable time. Real world large optimisation problems coming from structural engineering were used as the test problems. Additionally DE performance was compared with evolutionary optimisation method presented in [10].

Keywords

Test Problem Outer Solution Graphical Processor Unit Interval Linear System Evolutionary Optimisation Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jerzy Duda
    • 1
  • Iwona Skalna
    • 1
  1. 1.AGH University of Science and TechnologyKrakowPoland

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