diplomsko delo
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;diplomske naloge;
Data
Language: |
Slovenian |
Year of publishing: |
2019 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
UM FERI - Faculty of Electrical Engineering and Computer Science |
Publisher: |
[K. Grebovšek] |
UDC: |
004.421.6(043.2) |
COBISS: |
22837014
|
Views: |
622 |
Downloads: |
96 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary title: |
Optimizing cargo stowage using evolutionary algorithms |
Secondary 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. |
Secondary keywords: |
cargo stowage;optimization;evolutionary algorithms; |
Type (COBISS): |
Bachelor thesis/paper |
Thesis comment: |
Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja |
Pages: |
V, 45 f. |
ID: |
11207640 |