License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.04461.15
URN: urn:nbn:de:0030-drops-2728
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2005/272/
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Rigoni, Enrico ; Poles, Silvia

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

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04461.PolesSilvia.Paper.272.pdf (0.7 MB)

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:DagSemProc.04461.15,
  author =	{Rigoni, Enrico and Poles, Silvia},
  title =	{{NBI and MOGA-II, two complementary algorithms for Multi-Objective optimizations}},
  booktitle =	{Practical Approaches to Multi-Objective Optimization},
  pages =	{1--22},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{4461},
  editor =	{J\"{u}rgen Branke and Kalyanmoy Deb and Kaisa Miettinen and Ralph E. Steuer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2005/272},
  URN =		{urn:nbn:de:0030-drops-2728},
  doi =		{10.4230/DagSemProc.04461.15},
  annote =	{Keywords: Genetic Algorithms, Normal-Boundary Intersection, Designs optimizations}
}

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

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