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Title:
Optimizacija shranjevanja tovora s pomočjo evolucijskih algoritmov : diplomsko delo
Authors:
ID
Grebovšek, Klemen
(
Author
)
ID
Karakatič, Sašo
(
Mentor
)
More about this mentor...
Files:
VS_Grebovsek_Klemen_2019.pdf
(1,15 MB)
MD5: 437A3391A9CA0637961DBD38829D997A
PID:
20.500.12556/dkum/51c5e24a-cbac-46ac-914d-6844130bea5e
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Optimalna postavitev paketov v prostor za shranjevanje je ena izmed pomembnejših aktivnosti pri transportu blaga. Izboljšanje te pripomore k povečanju učinkovitosti prevoza in posledično k zmanjšanju stroškov poslovanja. V tem diplomskem delu smo se osredotočili na pomorski transport in na kratko pregledali področje tovorjenja, kar nam je kasneje predstavljalo osnovo pri razvoju platforme za optimizirano postavitev paketov v prostor za shranjevanje. Eno izmed mnogih tehnik za reševanje optimizacije postavitve paketov predstavljajo evolucijski algoritmi. Pred razvojem platforme smo se seznanili tudi z osnovami delovanja slednjih. Razvoj platforme je potekal s pomočjo mikro ogrodja NiaPy. V zadnjem delu smo izvedli nekaj eksperimentov v katerih nas je zanimalo splošno reševanja problema, vpliv nastavitev algoritmov na kakovost rešitve in primerjava izbranih evolucijskih algoritmov.
Keywords:
shranjevanje tovora
,
optimizacija
,
evolucijski algoritmi
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[K. Grebovšek]
Year of publishing:
2019
Number of pages:
V, 45 f.
PID:
20.500.12556/DKUM-74380
UDC:
004.421.6(043.2)
COBISS.SI-ID:
22837014
NUK URN:
URN:SI:UM:DK:6Q7RBHQG
Publication date in DKUM:
11.11.2019
Views:
1549
Downloads:
148
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
26.08.2019
Secondary language
Language:
English
Title:
Optimizing cargo stowage using evolutionary algorithms
Abstract:
Optimal placement of packages in storage space is one of the most important activities in the transportation of goods. Improving this activity helps to increase transport efficiency and reduce operating costs. In this thesis, we focused on marine transport and briefly reviewed the area of package loading, which later formed the basis for the development of a platform for optimized placement of packages in the storage space. One of the many techniques for solving package layout optimization are evolutionary algorithms. Before developing the platform, we also introduced the basics of their operation. The platform was developed using the NiaPy micro framework. In the last part, we performed a couple of experiments in which we were interested in general problem solving, the influence of algorithm settings on the quality of the solution and comparison of the selected evolutionary algorithms.
Keywords:
cargo stowage
,
optimization
,
evolutionary algorithms
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