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Title:Discrete optimization with fuzzy constraints
Authors:ID Jelušič, Primož (Author)
ID Žlender, Bojan (Author)
Files:.pdf Symmetry_2017_Jelusic,_Zlender_Discrete_Optimization_with_Fuzzy_Constraints.pdf (1,10 MB)
MD5: 511317B058CE038BC1AE27E6B9696741
PID: 20.500.12556/dkum/24791cea-a24a-4622-a6ba-04c751959488
 
URL http://www.mdpi.com/2073-8994/9/6/87
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:The primary benefit of fuzzy systems theory is to approximate system behavior where analytic functions or numerical relations do not exist. In this paper, heuristic fuzzy rules were used with the intention of improving the performance of optimization models, introducing experiential rules acquired from experts and utilizing recommendations. The aim of this paper was to define soft constraints using an adaptive network-based fuzzy inference system (ANFIS). This newly-developed soft constraint was applied to discrete optimization for obtaining optimal solutions. Even though the computational model is based on advanced computational technologies including fuzzy logic, neural networks and discrete optimization, it can be used to solve real-world problems of great interest for design engineers. The proposed computational model was used to find the minimum weight solutions for simply-supported laterally-restrained beams.
Keywords:uncertainty, discrete optimization, neuro-fuzzy technique, structural optimization
Publication status:Published
Publication version:Version of Record
Year of publishing:2017
Number of pages:str. 1-22
Numbering:Letn. 9, št. 6
PID:20.500.12556/DKUM-67285 New window
ISSN:2073-8994
UDC:624.04:004.8
ISSN on article:2073-8994
COBISS.SI-ID:20691222 New window
DOI:10.3390/sym9060087 New window
NUK URN:URN:SI:UM:DK:VBSRPSS8
Publication date in DKUM:09.08.2017
Views:1668
Downloads:420
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Symmetry
Shortened title:Symmetry
Publisher:MDPI
ISSN:2073-8994
COBISS.SI-ID:517592345 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:09.08.2017

Secondary language

Language:Slovenian
Keywords:negotovost, diskretno optimiranje, sinteza konstrukcij, optimizacija


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