A reinforcement learning based dynamic multi-objective constrained evolutionary algorithm for open-pit mine truck scheduling

Simple item page
dc.contributor.authorQiu, Junxiang
dc.contributor.authorLi, Changhe
dc.contributor.authorYang, Shengxiang
dc.date.acceptance2023-09
dc.date.accessioned2023-10-10T13:19:52Z
dc.date.available2023-10-10T13:19:52Z
dc.date.issued2023-09
dc.description.abstractAiming at the truck scheduling problem in the open-pit mine scenario, a truck scheduling model based on real-time ore blending is established, and an adaptive evolution algorithm for truck scheduling based on DCNSGA-III is proposed. In the established scheduling model, the real-time grade variance of the crushing plant is minimized as one of the optimization objectives, and the Q-learning algorithm is introduced to adaptively select one of the most effective operators during the search process. Experiments show that the proposed method can effectively control the grade fluctuation of the ore flow and better scheduling schemes are obtained in comparison with algorithms equipped with the traditional search operator selection methods.
dc.funderOther external funder (please detail below)
dc.funder.otherNational Natural Science Foundation of China
dc.identifier.citationQiu, J., Li, C. and Yang, S. (2023) A reinforcement learning based dynamic multi-objective constrained evolutionary algorithm for open-pit mine truck scheduling. Proceedings of the 2023 China Automation Congress.
dc.identifier.doihttps://doi.org/10.1109/cac59555.2023.10451038
dc.identifier.urihttps://hdl.handle.net/2086/23262
dc.language.isoen
dc.peerreviewedYes
dc.projectid62076226
dc.publisherIEEE
dc.researchinstituteInstitute of Artificial Intelligence (IAI)
dc.rightsAttribution 2.0 UK: England & Walesen
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/uk/
dc.subjectTruck scheduling
dc.subjectreal-time ore blending
dc.subjectsearch operator selection
dc.subjectDCNSGA-III
dc.titleA reinforcement learning based dynamic multi-objective constrained evolutionary algorithm for open-pit mine truck scheduling
dc.typeConference

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
CAC23.pdf
Size:
1.02 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.2 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

School of Computer Science and Informatics