A hybrid cat swarm optimization - Crow search algorithm for vehicle routing problem with time windows

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

12 Citations (Scopus)

Abstract

Vehicle Routing Problem with Time Windows (VRPTW) is known as scheduling problems of vehicles with a time interval which the extensions of VRP. The problem discuss the distribution of products between a depot and customers. This paper proposes a hybrid algorithm between Cat Swarm Optimization (CSO) and Crow Search (CS) to solve VRPTW. The CS algorithm helps the complexity of CSO algorithm to obtain the best solution. The memorized procedure of CS is applied in CSO. Simulation results show that CSO-CS algorithm is an alternative procedure for solving VRPTW. The better performance is obtained when number of population increased and the cdc decreased.

Original languageEnglish
Title of host publicationProceedings - 2017 2nd International Conferences on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages364-368
Number of pages5
ISBN (Electronic)9781538606582
DOIs
Publication statusPublished - 2 Jul 2017
Event2nd International Conferences on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2017 - Yogyakarta, Indonesia
Duration: 1 Nov 20172 Nov 2017

Publication series

NameProceedings - 2017 2nd International Conferences on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2017
Volume2018-January

Conference

Conference2nd International Conferences on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2017
Country/TerritoryIndonesia
CityYogyakarta
Period1/11/172/11/17

Keywords

  • VRPTW
  • cat swarm optimization
  • crow search
  • hybrid

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