REŠEVANJE NELINEARNEGA LOKACIJSKEGA PROBLEMA Z UPORABO NUMERIČNIH OPTIMIZACIJSKIH METOD NA PRIMERU REALNIH PODATKOV DISTRIBUCIJSKE ORGANIZACIJE

Korošec, Miroslav

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Title:	REŠEVANJE NELINEARNEGA LOKACIJSKEGA PROBLEMA Z UPORABO NUMERIČNIH OPTIMIZACIJSKIH METOD NA PRIMERU REALNIH PODATKOV DISTRIBUCIJSKE ORGANIZACIJE
Authors:	ID Korošec, Miroslav (Author) ID Vrančič, Damir (Mentor) More about this mentor... ID Dragan, Dejan (Comentor)
Files:	UNI_Korosec_Miroslav_2011.pdf (2,73 MB) MD5: 2EB72C30005CBAB1C8A127B92C6C6B55 PID: 20.500.12556/dkum/6d527980-b420-44da-839d-2c70f78edff5
Language:	Slovenian
Work type:	Undergraduate thesis
Organization:	FL - Faculty of Logistic
Abstract:	Diplomsko delo prikazuje uporabo nelinearnih multidimenzionalnih metod na primeru realnih podatkov distribucijske organizacije. V delu želimo prikazati način, kako določiti geografsko lokacijo nekega centralnega skladišča za potrebe dnevne distribucije blaga široke potrošnje. Ker gre za nelinearni multidimenzionalni optimizacijski problem, je potrebno za določitev optimalne lokacije uporabiti nelinearne multidimenzionalne optimizacijske metode. V delu je najprej predstavljenih nekaj najbolj tipičnih tovrstnih metod, sama rešitev problema pa je izpeljana s pomočjo naslednjih dveh metod: Hooke-Jeevesove metode vzorčnih premikov in Nelder-Meadove simpleksne metode. V delu je podan prikaz vseh izračunanih numeričnih rezultatov obeh metod za optimalno lokacijo skladišča in predlagano implementacijo dobljene rešitve.
Keywords:	Optimizacija, numerične optimizacijske metode, nelinearno programiranje, Hooke-Jeevesova metoda vzorčnih premikov, Nelder-Meadova simpleksna metoda, Cauchyeva metoda najstrmejšega spusta, Newtonova multidimenzionalna metoda, Marquardtova metoda, reševanje lokacijskih problemov
Place of publishing:	Maribor
Year of publishing:	2011
PID:	20.500.12556/DKUM-19119
NUK URN:	URN:SI:UM:DK:XBDZWRIH
Publication date in DKUM:	16.10.2011
Views:	2674
Downloads:	202
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Categories:	FL
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Secondary language

Language:	English
Title:	SOLVING NON - LINEAR LOCATION PROBLEM WITH USE OF NUMERICAL OPTIMISATION METHOD, AN EXAMPLE OF REAL DISTRIBUTION INFORMATION
Abstract:	This study shows the use of non-linear multidimensional methods in everyday life. In this work, we wish to show how to set a geographical location of the given central warehouse for needs of daily distribution of goods for general consumers. The goal of this study is to help the reader when solving similar problems. Everyone who will read the study will be able to decide based on their own assessment, which methods are appropriate for their examples. He or she will understand how to find the most appropriate location, which method to use and how to imply it in the daily life. In study we first set the problem and the objective that we are looking for. We define variables and restrictions. For a better explanation of the variables, we have used some simplifications, which are explained in the study. The first part shows us one of the world-wide mostly used methods. In the second part we have shown calculation procedure two different models of optimization for the given problem. For the final part gives a comparison and analysis of the methods for solving location problems
Keywords:	Optimization, numerical optimization method, nonlinear programming, Hooke-Jeeves pattern search method, Nelder-Mead simplex method, Cauchy’s steepest descent method, Newton’s multidimensional method, Marquardt’s method

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