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URN: urn:nbn:de:0030-drops-2728
URL: http://drops.dagstuhl.de/opus/volltexte/2005/272/
Rigoni, Enrico ; Poles, Silvia

NBI and MOGA-II, two complementary algorithms for Multi-Objective optimizations

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Abstract

The NBI-NLPQLP optimization method is tested on several multi-objective optimization problems. Its performance is compared to that of MOGA-II: since NBI-NLPQLP is based on the classical gradient-based NLPQLP, it is fast and accurate, but not as robust, in comparison with the genetic algorithm. Furthermore a discontinuous Pareto frontier can give rise to problems in the NBI´s convergence. In order to overcome this problem, a hybridization technique coupled with a partitioning method is proposed.

BibTeX - Entry

@InProceedings{rigoni_et_al:DSP:2005:272,
  author =	{Enrico Rigoni and Silvia Poles},
  title =	{NBI and MOGA-II, two complementary algorithms for Multi-Objective optimizations},
  booktitle =	{Practical Approaches to Multi-Objective Optimization},
  year =	{2005},
  editor =	{J{\"u}rgen Branke and Kalyanmoy Deb and Kaisa Miettinen and Ralph E. Steuer},
  number =	{04461},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2005/272},
  annote =	{Keywords: Genetic Algorithms, Normal-Boundary Intersection, Designs optimizations}
}

Keywords: Genetic Algorithms, Normal-Boundary Intersection, Designs optimizations
Seminar: 04461 - Practical Approaches to Multi-Objective Optimization
Issue date: 2005
Date of publication: 10.11.2005

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