SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

COMPOUND MODELING OF TRUCK-SHOVEL SYSTEM FOR DETERMINING THE OPTIMIZED TRAVELLING PATH BASED ON TSP MODELING

A. Sadri, M. Ataeepour, R. S. Gargari

First published: 2008DOI pendingView metrics

Abstract

The process of truck shovel assignment for optimization of the transport systems in open pit mining is performed using software models and algorithms. With the aid of the software and hardware mechanisms, great steps can be taken in intelligent assignment and control of truck shovel systems. In this paper, open pit mining transport system has been modeled based on TSP modeling. Using genetic algorithms, the optimized travelling path for trucks has been obtained. The software has the capability of compound modeling of truck-shovel assignment.

Publication details

Title
COMPOUND MODELING OF TRUCK-SHOVEL SYSTEM FOR DETERMINING THE OPTIMIZED TRAVELLING PATH BASED ON TSP MODELING
Authors
A. Sadri, M. Ataeepour, R. S. Gargari
Proceedings
8th International Scientific Conference - SGEM2008
Publisher
SGEM Scientific GeoConference
Year
2008
Pages
413-420
SWS Citekey
Sadri2008413420
ISSN
1314-2704
ISBN
954-918181-2
Language
en
Publication type
Conference Paper
Keywords
ReferencesPending
Pendingreferences will be imported from Crossref/SWS source data

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list