Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem

Abstract : This paper deals with the problem of scheduling feeding tasks of a single mobile robot which has capability of supplying parts to feeders on production lines. The performance criterion is to minimize the total traveling time of the robot and the total tardiness of the feeding tasks being scheduled, simultaneously. In operation, the feeders have to be replenished a number of times so as to maintain the manufacture of products during a planning horizon. A method based on predefined characteristics of the feeders is presented to generate dynamic time windows of the feeding tasks which are dependent on starting times of previous replenishment. A heuristic based on genetic algorithm which could be used to produce schedules in online production mode is proposed to quickly obtain efficient solutions. Several numerical examples are conducted to demonstrate results of the proposed approach.
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/hal-01472286
Contributor : Hal Ifip <>
Submitted on : Monday, February 20, 2017 - 4:15:15 PM
Last modification on : Tuesday, April 24, 2018 - 4:16:02 PM
Long-term archiving on : Sunday, May 21, 2017 - 3:41:39 PM

File

978-3-642-40352-1_65_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Quang-Vinh Dang, Izabela Nielsen, Kenn Steger-Jensen. Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem. 19th Advances in Production Management Systems (APMS), Sep 2012, Rhodes, Greece. pp.518-525, ⟨10.1007/978-3-642-40352-1_65⟩. ⟨hal-01472286⟩

Share

Metrics

Record views

96

Files downloads

172