Study on Optimization Method of Waste Haulage in Wulongquan Open-pit

Author

Lv Lei ; Ye Yi-cheng ; Qiu Wang-ling ; Wang You-zhu ; Li Ying-ying

Author_Institution

Coll. of Resources & Environ. Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China

fYear

2010

fDate

28-31 March 2010

Firstpage

1

Lastpage

6

Abstract

The waste haulage of strip mine has a direct effect on economic benefit of enterprises. Based on the actual demand of waste construction in Wulongquan open-pit, this paper compares four common transport optimization methods, combines multipurpose optimal problems of mine haulage, then puts forward a new solution of mine transport which is called GA-Hopfield Network Method and applies it to the waste haulage project in Wulongquan Open-pit. The application of the new method effectively solves the complex transport problem and offers assistance and guidance for intending research.

Keywords

Hopfield neural nets; mining industry; production engineering computing; waste management; GA-hopfield network method; Wulongquan open-pit; mine haulage; strip mine; transport optimization method; waste construction; waste haulage project; Artificial neural networks; Costs; Environmental economics; Genetic algorithms; Hopfield neural networks; Marketing and sales; Neural networks; Optimization methods; Strips; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific

Conference_Location

Chengdu

Print_ISBN

978-1-4244-4812-8

Electronic_ISBN

978-1-4244-4813-5

Type

conf

DOI

10.1109/APPEEC.2010.5448546

Filename

5448546