Perishable goods delivery and scheduling with time window by genetic algorithm

Xunyu Xu, Tomohiro Murata

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

2 Citations (Scopus)

Abstract

This paper focuses on the problem of delivery and scheduling for perishable goods with time-window. The aim is to find an optimal solution to minimize whole cost of delivery system. The challenge of this problem is that there are several trade-off between time constraint and cost constraint. We propose that genetic algorithm will be applied to research to find solution which meet customers' requirements and save cost in great extend.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Automation and Logistics, ICAL 2010
Pages587-592
Number of pages6
DOIs
Publication statusPublished - 2010 Nov 17
Event2010 IEEE International Conference on Automation and Logistics, ICAL 2010 - Shatin, Hong Kong
Duration: 2010 Aug 162010 Aug 20

Publication series

Name2010 IEEE International Conference on Automation and Logistics, ICAL 2010

Conference

Conference2010 IEEE International Conference on Automation and Logistics, ICAL 2010
CountryHong Kong
CityShatin
Period10/8/1610/8/20

Keywords

  • Genetic algorithm
  • Perishable goods
  • Time-window

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Xu, X., & Murata, T. (2010). Perishable goods delivery and scheduling with time window by genetic algorithm. In 2010 IEEE International Conference on Automation and Logistics, ICAL 2010 (pp. 587-592). [5585351] (2010 IEEE International Conference on Automation and Logistics, ICAL 2010). https://doi.org/10.1109/ICAL.2010.5585351