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Enhanced guided ejection search for the pickup and delivery problem with time windows

  • Silesian University of Technology
  • ABB IT

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

This paper presents an enhanced guided ejection search (GES) to minimize the number of vehicles in the NP-hard pickup and delivery problem with time windows. The proposed improvements decrease the convergence time of the GES, and boost the quality of results. Extensive experimental study on the benchmark set shows how the enhancements influence the GES capabilities. It is coupled with the statistical tests to verify the significance of the results. We give a guidance on how to select a proper algorithm variant based on test characteristics and objectives. We report one new world’s best result obtained using the enhanced GES.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings
EditorsNgoc Thanh Nguyen, Bogdan Trawinski, Tzung-Pei Hong, Hamido Fujita
PublisherSpringer Verlag
Pages388-398
Number of pages11
ISBN (Print)9783662493809
DOIs
Publication statusPublished - 2016
Event8th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016 - Da Nang, Viet Nam
Duration: 14 Mar 201616 Mar 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9621
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016
Country/TerritoryViet Nam
CityDa Nang
Period14/03/1616/03/16

Keywords

  • Ejection chain
  • Guided search
  • Heuristics
  • PDPTW

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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