Container vessel stowage plan using genetic, hill-climbing and simulated annealing algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Downloads (Pure)

Abstract

Container vessel stowage is vital for reducing extra cost and the vessel’s turn-around time in ports. Several studies have been conducted to be able to solve this problem. However, this problem has not been dealt with completely due to container stowage problem is complex problem which is literally considered
as a NP-hard problem. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports.
Algorithms are the most widely-used methods for finding optimal solution in container vessel stowage problem. In this study, Genetic, Hill-Climbing and Simulated Annealing algorithm are implemented considering same size and two different types of containers (refrigerated and standard containers). After finding the numerical test results from these three algorithms, the effectiveness of the algorithms for the problem are evaluated.
Original languageEnglish
Title of host publicationMarine Design XIII
Subtitle of host publicationProceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland
EditorsPentti Kujala, Liangliang Lu
Place of PublicationBoca Raton, FL
Number of pages7
Publication statusPublished - 11 Jun 2018
Event13th INTERNATIONAL MARINE DESIGN CONFERENCE - Espoo/Helsinki, Helsinki, Finland
Duration: 10 Jun 201814 Jun 2018
Conference number: 13
http://imdc2018.aalto.fi/

Conference

Conference13th INTERNATIONAL MARINE DESIGN CONFERENCE
Abbreviated titleIMDC2018
CountryFinland
CityHelsinki
Period10/06/1814/06/18
Internet address

    Fingerprint

Keywords

  • container vessel stowage
  • optimal stowage plan
  • contain ship stowage planning

Cite this

Yurtseven, M. A., Boulougouris, E., & Turan, O. (2018). Container vessel stowage plan using genetic, hill-climbing and simulated annealing algorithms. In P. Kujala, & L. Lu (Eds.), Marine Design XIII: Proceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland Boca Raton, FL.