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Title:Discrete optimization with fuzzy constraints
Authors:Jelušič, Primož (Author)
Žlender, Bojan (Author)
Files:.pdf Symmetry_2017_Jelusic,_Zlender_Discrete_Optimization_with_Fuzzy_Constraints.pdf (1,10 MB)
URL http://www.mdpi.com/2073-8994/9/6/87
Work type:Scientific work (r2)
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
Year of publishing:2017
Number of pages:str. 1-22
Numbering:št. 6, Letn. 9
ISSN on article:2073-8994
COBISS_ID:20691222 Link is opened in a new window
DOI:10.3390/sym9060087 Link is opened in a new window
License:CC BY 4.0
This work is available under this license: Creative Commons Attribution 4.0 International
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Publisher:MDPI AG
COBISS.SI-ID:517592345 New window

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Keywords:negotovost, diskretno optimiranje, sinteza konstrukcij, optimizacija


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