A Reinforcement Learning Based Dynamic Multi-Objective Constrained Evolutionary Algorithm for Open-Pit Mine Truck Scheduling-Reference-Cited by-同舟云学术

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A Reinforcement Learning Based Dynamic Multi-Objective Constrained Evolutionary Algorithm for Open-Pit Mine Truck Scheduling

Published:2023-11-17 Issue: Volume:43 Page:5370-5375
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
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Author:

Qiu Junxiang¹,Li Changhe¹,Yang Shengxiang²

Affiliation:

1. School of Automation, China University of Geosciences, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,Engineering Research Center of Intelligent Technology for Geo- Exploration, Ministry of Education,Wuhan,China,430074

2. School of Computer Science and Informatics De Montfort University,Leicester,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451038.pdf?arnumber=10451038

Reference12 articles.

1. 2025 scenarios and development path of intelligent coal mine;Wang;Journal of China Coal Society,2018

2. An overview of the development of open-pit driverless dump trucks;Lin;Coal Engineering,2021

3. A MILP Model for Truck-shovel Scheduling to Minimize Fuel Consumption

4. A Hybrid Multiobjective Evolutionary Algorithm for Truck Dispatching in Open-Pit-Mining

5. An Unmanned Intelligent Transportation Scheduling System for Open-Pit Mine Vehicles Based on 5G and Big Data

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