PSO Algorithm for Block Sequencing Problem in Open Pit Mining

DOI

10.2991/iccsae-15.2016.83How to use a DOI?

Keywords

Mining, Particle Swarm Optimization algorithm, CPLEX

Abstract

Iron ore is the main raw material of the production in iron and steel enterprises in China. It is a non-renewable resource and with limited reserves. In this paper, in combination with the practical situation of the mine, an integer linear programming model of a strip mining block scheduling problem is established with the scientific, reasonable, and economical principle. The maximization of mining profit is set as the goal under the precedence constraints and production capacity constraints. This paper designs an improved particle swarm optimization algorithm to solve the problem and compares with results with CPLEX optimizing software. According to the results of different scale experiment, the improved particle swarm optimization algorithm has better performance.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenbo Liu
AU  - Hongyi Zhang
PY  - 2016/02
DA  - 2016/02
TI  - PSO Algorithm for Block Sequencing Problem in Open Pit Mining
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 434
EP  - 441
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.83
DO  - 10.2991/iccsae-15.2016.83
ID  - Liu2016/02
ER  -