A New Mechanism for Maintaining Diversity of Pareto Archive in Multiobjective Optimization

نویسندگان

  • Jaroslav Hájek
  • András Szöllös
  • Jakub Sístek
چکیده

The article introduces a new mechanism for selecting individuals to a Pareto archive. It was combined with a micro-genetic algorithm and tested on several problems. The ability of this approach to produce individuals uniformly distributed along the Pareto set without negative impact on convergence is demonstrated on presented results. The new concept was confronted with NSGA-II, SPEA2, and IBEA algorithms from the PISA package. Another studied effect is the size of population versus number of generations for small populations.

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عنوان ژورنال:
  • Advances in Engineering Software

دوره 41  شماره 

صفحات  -

تاریخ انتشار 2010