| Authors | A Aghajani - M Osanloo - M Akbarpour |
|---|---|
| Conference Title | Iron Ore Conference |
| Holding Date of Conference | 2007 |
| Event Place | perth, Australia |
| Presented by | دانشگاه آزاد اسلامی واحد سوادکوه |
| Presentation | SPEECH |
| Conference Level | International Conferences |
Abstract
In mining industries, materials handling costs represent a significant
component of the operational cost. A variety of methods have been
applied in surface mine equipment selection in order to select the suitable
loading system with the lowest loading operation cost. These are queuing
theory, bunching theory, linear programming and genetic algorithm.
Among them, genetic algorithm is a simple method and applied for
preliminary selection of the loading system. In this study, gathering
information from anomaly No 2 of Gol-e-Gohar iron mine of Iran,
loading system (number and its capacity) has been optimised by genetic
algorithm. The study results showed that two shovels 8.25 m3 are
required for the removal of 60 million tonnes of overburden. After
removal overburden, these two shovels contribute to the extraction of
42 million tonnes of ore with a stripping ratio of 1:1.