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A Note On the Use of a Fuzzy Approach in Adaptive Partitioning Algorithms for Global Optimization

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Author
Demirhan, Melek
Özdamar, Linet
Type
Article
Date
1999-08
Language
en_US
Metadata
Show full item record
Abstract
In global optimization, adaptive partitioning algorithms (APA) operate on the basis of partitioning the feasible region into subregions, sampling and evaluating each subregion, and selecting one or more subregions for repartitioning, The purpose of the repartitioning process is to locate a narrow neighborhood around the global optimum. In this correspondence, He propose to use a fuzzy approach in the assessment of subregions using random samples taken from these subregions. We discuss different types of uncertainties involved in APA and ne conclude that the use of a fuzzy approach in the assessment of subregions is in concurrence with APA's convergence property, We provide numerical results for the fuzzy approach on 13 test functions from the literature.
Subject
Software
fuzzy uncertainty
global optimization
probabilistic uncertainty
adaptive partitioning algorithms
yazılım
bulanık belirsizlik
global optimizasyon
olasılıklı belirsizlik
adaptif bölümleme algoritmaları
URI
http://hdl.handle.net/11413/808
Collections
  • Makaleler / Articles [100]
  • Scopus Publications [724]
  • WoS Publications [1016]

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İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS