Multi-objective AGV scheduling in an automatic sorting system of an unmanned (intelligent) warehouse by using two adaptive genetic algorithms and a multi-adaptive genetic algorithm-Reference-Cited by-同舟云学术

Multi-objective AGV scheduling in an automatic sorting system of an unmanned (intelligent) warehouse by using two adaptive genetic algorithms and a multi-adaptive genetic algorithm

Published:2019-12-06 Issue:12 Volume:14 Page:e0226161
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Liu Yubang^ORCID,Ji Shouwen,Su Zengrong,Guo Dong

Funder

Key Technologies Research and Development Program

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference38 articles.

1. Novel methodology for optimising the design, operation and maintenance of a multi-AGV system;Y Rundong;Reliability Engineering & System Safety,2018

2. Scheduling tasks and vehicles in a flexible manufacturing system;J Blazewicz;International Journal of Flexible Manufacturing Systems,1991

3. Dynamic dispatching algorithm for scheduling machines and automated guided vehicles in a flexible manufacturing system;I Sabuncuoglu;The International Journal Of Production Research,1992

4. Flexible manufacturing systems modelling and performance evaluation using AutoMod;B Reddy;International Journal of Simulation Modelling,2011

5. Simultaneous scheduling of machines and vehicles in an FMS environment with alternative routing;MS Kumar;The International Journal of Advanced Manufacturing Technology,2011

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