Production Scheduling of Open Pit Mines Using Particle Swarm Optimization Algorithm
Joint Authors
Khan, Asif
Niemann-Delius, Christian
Source
Advances in Operations Research
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Determining an optimum long term production schedule is an important part of the planning process of any open pit mine; however, the associated optimization problem is demanding and hard to deal with, as it involves large datasets and multiple hard and soft constraints which makes it a large combinatorial optimization problem.
In this paper a procedure has been proposed to apply a relatively new and computationally less expensive metaheuristic technique known as particle swarm optimization (PSO) algorithm to this computationally challenging problem of the open pit mines.
The performance of different variants of the PSO algorithm has been studied and the results are presented.
American Psychological Association (APA)
Khan, Asif& Niemann-Delius, Christian. 2014. Production Scheduling of Open Pit Mines Using Particle Swarm Optimization Algorithm. Advances in Operations Research،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1015947
Modern Language Association (MLA)
Khan, Asif& Niemann-Delius, Christian. Production Scheduling of Open Pit Mines Using Particle Swarm Optimization Algorithm. Advances in Operations Research No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1015947
American Medical Association (AMA)
Khan, Asif& Niemann-Delius, Christian. Production Scheduling of Open Pit Mines Using Particle Swarm Optimization Algorithm. Advances in Operations Research. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1015947
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1015947