A modified Variable Neighborhood Search for aircraft Landing Problem

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Aircraft landing problem is a crucial operation in air traffic flow management. Appropriate and efficient landing sequencing, runway assignment and scheduled landing time are of great importance to maintain flight safety and minimize the overall tardiness of all flights. The heuristic approaches mainly focus on providing a fast and feasible solution in a reasonable amount of time. The proposed modified variable neighbor search heuristic shows its robustness in searching the optimal result. The computational study for analyzing the algorithm indicates the effectiveness in handling time sensitive aircraft landing model. The performance of the proposed algorithm is analyzed in comparison with the result from the literature and it is capable of accommodating the perturbation strengthen iteratively to escape from the local optimum trap and reduce the computational burden in branch-and-bound algorithm using CPLEX optimizer.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016
PublisherIEEE
Pages127-132
Number of pages6
ISBN (Electronic)9781509015009
DOIs
Publication statusPublished - 20 Oct 2016
Event2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016 - Bangkok, Thailand
Duration: 19 Sep 201622 Sep 2016

Conference

Conference2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016
Country/TerritoryThailand
CityBangkok
Period19/09/1622/09/16

Keywords

  • Aircraft landing problem
  • airside operation
  • meta-heuristics
  • variable neighborhood search

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation
  • Strategy and Management
  • Management Science and Operations Research

Cite this