20.500.12556/DKUM-67285 Discrete optimization with fuzzy constraints 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. uncertainty discrete optimization neuro-fuzzy technique structural optimization negotovost diskretno optimiranje sinteza konstrukcij optimizacija true false true Angleški jezik Slovenski jezik Znanstveno delo 2017-08-09 12:28:59 2017-08-09 12:29:43 2022-08-01 13:46:36 2019-07-11 16:15:11 2017 0 0 str. 1-22 št. 6 Letn. 9 June 2017 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2073-8994 624.04:004.8 517592345 20691222 10.3390/sym9060087 2073-8994 URN:SI:UM:DK:VBSRPSS8 Symmetry_2017_Jelusic,_Zlender_Discrete_Optimization_with_Fuzzy_Constraints.pdf Symmetry_2017_Jelusic,_Zlender_Discrete_Optimization_with_Fuzzy_Constraints.pdf 1 511317B058CE038BC1AE27E6B9696741 d97c95e13bc6597af0c3ec58229eec34f46e3461a49848091cb5e3ca3c1c18bb 7f9370ef-7c0e-11eb-bb7a-00155d0001ca 20.500.12556/dkum/24791cea-a24a-4622-a6ba-04c751959488 https://dk.um.si/Dokument.php?lang=slv&id=115087 http://www.mdpi.com/2073-8994/9/6/87 1 https://dk.um.si/Dokument.php?lang=slv&id=115086 Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo 0 0 0