ME home
 
  SME FaceBook SME Twitter SME LinkedIn RSS Feed

Subscriber or
SME Member Log On

WEB-ONLY CONTENT

Go to SME eNEWS

MINING INDUSTRY EVENTS

Copper 2019  - Conference
Aug 18, 2019 - Aug 21, 2019
AIMEX  - Exhibit
Aug 27, 2019 - Aug 29, 2019
6th Internatl Congress on Environment and Soc Resp  - Conference
Sep 4, 2019 - Sep 6, 2019
Future of Mining EMEA 2019  - Conference
Sep 4, 2019 - Sep 5, 2019

METAL PRICES


Au
Ag
Pt
Pd
Ni
Cu
Al
Pb

AGGREGATES
AND MINERALS
MARKETPLACE


http://aggregatesmineralsmarketplace.com
The Mining Engineering, SME and NSSGA
Online Buyers Directory Site
The Online Global Mining and Minerals Library Site
August 2019
Volume 71    Issue 8

Optimization of surface mining dig limits with a practical heuristic algorithm

Mining Engineering, 2019, Vol. 71, No. 8, pp. 55-56
Vasylchuk, Y.V.; Deutsch, C.V.


ABSTRACT:

An algorithm is presented for optimizing the classification of surface mine material subject to excavating constraints. High-resolution, expected-profit models are optimized to classification maps subject to site-specific excavating constraints. This optimization problem defies traditional closed-form analytical solutions. A practical heuristic algorithm quickly determines the optimum final destination for material subject to realistic selectivity constraints. The expected profit could be calculated from an estimated model if the value calculations are all linear; otherwise, simulation could be used. In both cases, a single expected profit for all destinations on a high-resolution grid is the starting point for dig limits optimization. Maximizing expected profit in a risk-neutral manner is correct given the repeated nature of grade-control decisions over relatively short timeframes.



Please login to access this article.

OR

If you are not an SME member, you can join SME by clicking the button below.