Unmanned truck transportation scheduling in open-pit mines based on improved tunicate swarm algorithm

• Published in: Gong kuang zi dong hua = Industry and mine automation Vol. 48; no. 6; pp. 87 - 94, 127
• Main Authors: LI Zaiyou, SUN Yanbin, WANG Xiaoguang, CHEN Yong, LIU Guangwei, GUO Zhiqing
• Format: Journal Article
• Language: Chinese
• Published: Editorial Department of Industry and Mine Automation 01.06.2022
• Subjects: open-pit mine transportation; parameter position adaptive update; singer mapping; truck transportation scheduling; tunicate swarm algorithm; unmanned driving
• ISSN: 1671-251X
• DOI: 10.13272/j.issn.1671-251x.17929

In order to solve the problem of unmanned truck transportation scheduling in open-pit mines, the minimum sum of fuel cost, fixed start-up cost, breakdown maintenance cost, and network base station construction and maintenance cost are taken as the objective functions. The mining amount of mining station, crushing amount of crushing station, truck number and truck transportation workload are taken as the constraint conditions. The optimization model of unmanned truck transportation scheduling in open-pit mines is established. To solve the problem of imbalance between global exploration and local mining ability in the tunicate swarm algorithm, an improved tunicate swarm algorithm (ITSA) based on Singer mapping and adaptive updating mechanism of parameter position is proposed. And it is applied to solve the optimization model of unmanned truck transportation scheduling in open-pit mines. Singer mapping is introduced to enhance the distribution of the initial tunicate swarm in the solution space and accelerate th