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Description
  • In the paper, three algorithms for the multi-objective optimization based on the strategy of a self-organized migration are compared. The first two algorithms - Weighted Sum Method and Rotated Weighted Metric Method - transform multiple objectives into a single fitness function. The third method - a novel MOSOMA - combines the principle of the non-dominated sorting of population in the objective space and the survey of the decision space of input variables based on the self-organized migration. All three algorithms are compared on the test problem with the Pareto front, which contains both convex and non-convex parts. Monitored parameters are generational distance, spread of solutions and CPU time.
  • In the paper, three algorithms for the multi-objective optimization based on the strategy of a self-organized migration are compared. The first two algorithms - Weighted Sum Method and Rotated Weighted Metric Method - transform multiple objectives into a single fitness function. The third method - a novel MOSOMA - combines the principle of the non-dominated sorting of population in the objective space and the survey of the decision space of input variables based on the self-organized migration. All three algorithms are compared on the test problem with the Pareto front, which contains both convex and non-convex parts. Monitored parameters are generational distance, spread of solutions and CPU time. (en)
Title
  • Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods
  • Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods (en)
skos:prefLabel
  • Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods
  • Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods (en)
skos:notation
  • RIV/00216305:26220/11:PU92033!RIV13-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E09008), P(EE2.3.20.0007), P(GA102/07/0688), P(GD102/08/H018), P(OC08027), P(OC09016), R, S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 191195
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU92033
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • MOSOMA, multi-objective optimization, weighted sum method, rotated weighted metric method. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [71F52E4E8348]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Purkyňova 118, 61200 Brno, Czech Republic
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 21st International Conferrence Radioelktronika 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kadlec, Petr
  • Raida, Zbyněk
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektroniky
https://schema.org/isbn
  • 978-1-61284-322-3
http://localhost/t...ganizacniJednotka
  • 26220
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