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Title:Optimizacije v inženirstvu : reševanje problemov z metahevrističnimi metodami v okolju MATLAB
Authors:ID Gotlih, Janez (Author)
ID Ficko, Mirko (Author)
ID Brezočnik, Miran (Reviewer)
ID Klančnik, Simon (Reviewer)
ID Bajić, Marina (Technical editor)
ID Perša, Jan (Technical editor)
Files:URL https://press.um.si/index.php/ump/catalog/book/1076
 
.pdf RAZ_Gotlih_Janez_2025.pdf (5,96 MB)
MD5: 98145DFD54B7204112836B07EB5B6DCF
 
Language:Slovenian
Work type:Higher education textbook
Organization:FS - Faculty of Mechanical Engineering
UZUM - University of Maribor Press
Abstract:Skripta obravnavajo temeljne pristope optimizacije v inženirstvu s poudarkom na uporabi metahevrističnih metod, kot sta genetski algoritem (GA) in algoritem rojev delcev (PSO). Namenjena so študentom in inženirjem, ki želijo razumeti tako teoretično ozadje kot praktično implementacijo optimizacijskih algoritmov v okolju MATLAB. Vključujejo poglavja o enokriterijskih in večkriterijskih optimizacijskih problemih, obravnavajo omejitve, različne ciljne funkcije ter vizualizacijo rezultatov. Vsako poglavje vsebuje strukturirane vaje in naloge za samostojno delo, ki spodbujajo razumevanje delovanja algoritmov, oblikovanje optimizacijskih modelov in interpretacijo rešitev. Poseben poudarek je na razlagi parametrov algoritmov, primerjavi konvergence ter vplivu nastavitev na vedenje optimizacije. Skripta se zaključijo s pregledom značilnih testnih funkcij in primeri Pareto front za večkriterijsko optimizacijo. Zasnovana so tako, da tudi uporabniki brez poglobljenega matematičnega znanja lahko postopoma razvijejo intuicijo za uporabo optimizacijskih pristopov v realnih inženirskih problemih.
Keywords:metahevristične metode, genetski algoritem (GA), algoritem rojev delcev (PSO), eno- in večkriterijska optimizacija, MATLAB, inženirske aplikacije
Place of publishing:Maribor
Place of performance:Maribor
Publisher:Univerza v Mariboru, Univerzitetna založba
Year of publishing:2025
Year of performance:2025
PID:20.500.12556/DKUM-95925 New window
ISBN:978-961-299-079-4
UDC:62:519.8(035)(0.034.2)
COBISS.SI-ID:256635651 New window
DOI:10.18690/um.fs.11.2025 New window
Publication date in DKUM:11.11.2025
Views:169
Downloads:10
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:11.11.2025

Secondary language

Language:English
Title:Optimization in Engineering : Solving Problems with Metaheuristic Methods in MATLAB
Abstract:The book covers basic optimization approaches in engineering, focusing on the use of metaheuristic methods such as genetic algorithms (GA) and particle swarm optimization (PSO). They are intended for students and engineers who want to understand both the theoretical background and the practical implementation of optimization algorithms in the MATLAB environment. They include chapters on singleobjective and multiobjective optimization problems, discuss constraints, various objective functions, and visualization of results. Each chapter contains structured exercises and assignments for independent work that promote understanding of how algorithms work, the design of optimization models, and the interpretation of solutions. Special emphasis is placed on explaining algorithm parameters, comparing c onvergence, and the impact of settings on optimization behavior. The book concludes with an overview of typical test functions and examples of Pareto fronts for multi-objective optimization. It is designed so that even users without in-depth mathematical knowledge can gradually develop an intuition for using optimization approaches in real engineering problems.
Keywords:metaheuristic methods, genetic algorithm (GA), particle swarm optimization (PSO) algorithm, single- and multi-objective optimization, MATLAB, engineering applications


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