A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation

Amir Karbassi Yazdi, Mohamad Amin Kaviani*, Ali Emrouznejad, Hadi Sahebi

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

With the increasing global demands for energy, fuel supply management is a challenging task of today’s industries in order to decrease the cost of energy and diminish its adverse environmental impacts. To have a more environmentally friendly fuel supply network, Liquefied Natural Gas (LNG) is suggested as one of the best choices for manufacturers. As the consumption rate of LNG is increasing dramatically in the world, many companies try to carry this product all around the world by themselves or outsource it to third-party companies. However, the challenge is that the transportation of LNG requires specific vessels and there are many clauses in related LNG transportation contracts which may reduce the revenue of these companies, it seems essential to find the best option for them. The aim of this paper is to propose a meta-heuristic Binary Particle Swarm Optimization (BPSO) algorithm to come with an optimized solution for ship routing and scheduling of LNG transportation. The application demonstrates what sellers need to do to reduce their costs and increase their profits by considering or removing some obligations.

Original languageEnglish
JournalTransportation Letters
DOIs
Publication statusPublished - 26 Feb 2019

Fingerprint

Natural gas transportation
natural gas
Liquefied natural gas
Particle swarm optimization (PSO)
scheduling
Ships
Scheduling
Industry
supply
energy
costs
Environmental impact
environmental impact
Costs
heuristics
obligation
revenue
Profitability
profit
industry

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis Group in Transportation Letters on 26 Feb 2019, available online at: http://www.tandfonline.com/10.1080/19427867.2019.1581485

Keywords

  • Binary particle swarm optimization
  • liquefied natural gas
  • optimization
  • scheduling
  • ship routing
  • transportation

Cite this

Karbassi Yazdi, Amir ; Kaviani, Mohamad Amin ; Emrouznejad, Ali ; Sahebi, Hadi. / A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation. In: Transportation Letters. 2019.
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A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation. / Karbassi Yazdi, Amir; Kaviani, Mohamad Amin; Emrouznejad, Ali; Sahebi, Hadi.

In: Transportation Letters, 26.02.2019.

Research output: Contribution to journalArticle

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