| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Uporaba algoritmov inteligence rojev za rešitev problema dostavnih vozil
Authors:ID Hlastec, Urban (Author)
ID Podgorelec, Vili (Mentor) More about this mentor... New window
Files:.pdf MAG_Hlastec_Urban_2018.pdf (4,27 MB)
MD5: 87A40CC621F77666F3371F720AE76944
PID: 20.500.12556/dkum/d202b05b-7cbd-4e51-b0ac-3ee521a59044
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrski nalogi smo obravnavali in implementirali algoritem umetne kolonije čebel za reševanje problema dostavnih vozil z več skladišči. Zanimalo nas je, kako so algoritmi s področja inteligence rojev ustrezni in uporabni za reševanje optimizacijskih problemov. V nalogi smo združili algoritem umetne kolonije čebel ter algoritem za reševanje problema dostavnih vozil. Primerjali smo tudi rezultate pred optimizacijo različnih spremenljivk in po in tako ugotovili, kaj najbolj vpliva na hitrost reševanja problemov ter za kakšno ceno. Z eksperimentalnim delom smo potrdili, da je algoritem umetne kolonije čebel ustrezen za reševanje tovrstnih problemov.
Keywords:algoritmi, inteligenca rojev, problem dostavnih vozil, optimizacija, algoritem čebel
Place of publishing:[Maribor
Publisher:U. Hlastec
Year of publishing:2017
PID:20.500.12556/DKUM-69279 New window
COBISS.SI-ID:21236758 New window
Publication date in DKUM:13.03.2018
Categories:KTFMB - FERI
Copy citation
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.


License:CC BY 4.0, Creative Commons Attribution 4.0 International
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:17.12.2017

Secondary language

Title:Swarm intelligence algorithms for solving vehicle routing problem
Abstract:In the master's thesis, we discussed and implemented the algorithm of an artificial colony of bees for solving the problem of multi depot vehicles. We were interested in how algorithms from the field of swarm intelligence are suitable and useful for solving optimization problems. In our task we combined the algorithm of the artificial bee colony and the algorithm for solving the problem of vehicle routing problem. We also compared the results before and after the optimization of the various variables to find out what has the greatest impact on the speed of problem solving and for what price. With the experimental work we confirmed that the algorithm of the artificial colony of bees is suitable for solving such problems.
Keywords:algorithms, swarm intelligence, vehicle routing problem, optimization, artificial bee colony


Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
There are no comments!

Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica