A Tabu Search algorithm for loading containers on double-stack cars

Zepeng Wang, Maoxiang Lang, Xuesong Zhou, Jay Przybyla, Yan Sun

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

1 Scopus citations

Abstract

This study explores a multi-objective optimization for loading containers on double-stack cars that considers safety issues including lowering the center-of-gravity height and balancing the wheelsets’ load of the loaded cars. To effectively solve this problem, a Tabu Search algorithm with 2-opt and Tabu list techniques is designed to obtain the close-to-optimal solutions to the problem. In this study, two experimental cases are presented to demonstrate the efficiency of the proposed algorithm and its computational accuracy by comparing with the exact solution strategy proposed in our previous study. The experimental results indicate that the Tabu Search algorithm can obtain the optimal solutions to the double-stack car loading problem more efficiently.

Original languageEnglish (US)
Title of host publicationAdvances in Intelligent Systems and Interactive Applications - Proceedings of the 2nd International Conference on Intelligent and Interactive Systems and Applications, IISA 2017
EditorsFatos Xhafa, Srikanta Patnaik, Albert Y. Zomaya
PublisherSpringer Verlag
Pages49-56
Number of pages8
ISBN (Print)9783319690957
DOIs
StatePublished - 2018
Event2nd International Conference on Intelligent and Interactive Systems and Applications, IISA 2017 - Beijing, China
Duration: Jun 17 2017Jun 18 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume686
ISSN (Print)2194-5357

Other

Other2nd International Conference on Intelligent and Interactive Systems and Applications, IISA 2017
Country/TerritoryChina
CityBeijing
Period6/17/176/18/17

Keywords

  • Center-of-gravity height
  • Container loading problem
  • Double-stack cars
  • Multi-objective optimization
  • Tabu search algorithm

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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