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n Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie - Partikel-Swerm-Optimering (PSO) toetsbank vir globale wiskundige minimeringsprobleme : refereraatopsomming

Volume 30, Issue 1
  • ISSN : 0254-3486
  • E-ISSN: 2222-4173

Abstract

'n Partikel-Swerm-Optimering (PSO) toetsbank is ontwikkel om verskillende algoritmes te vergelyk. Die toetsbank stel ons in staat om te bepaal watter tipe algoritmes verskillende probleme die beste oplos. Hierdie referaat sal eerstens wiskundige optimering definieer, kortliks PSO verduidelik, die toetsbankstelsel opsom en laastens na resultate verwys.


A PSO test bench was developed with the aim of comparing various algorithms and their performance on a variety of domains. Techniques were employed to avoid the lost-diversity problem for domains with local minima, funnelled-precipitation being the author's own algorithm to address this. Problems investigated include Rosenbrock's valley, Rastrigin's and Schwefel's function.

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/content/aknat/30/1/EJC20485
2011-01-01
2019-12-12

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