SciELO - Scientific Electronic Library Online

 
vol.116 issue7 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

    Related links

    • On index processCited by Google
    • On index processSimilars in Google

    Share


    Journal of the Southern African Institute of Mining and Metallurgy

    On-line version ISSN 2411-9717Print version ISSN 2225-6253

    Abstract

    SARI, Y.A.  and  KUMRAL, M.. An improved meta-heuristic approach to extraction sequencing and block routing. J. S. Afr. Inst. Min. Metall. [online]. 2016, vol.116, n.7, pp.673-680. ISSN 2411-9717.  https://doi.org/10.17159/2411-9717/2016/v116n7a9.

    Mine production scheduling can be solved through many different techniques that have the drawbacks of either producing sub-optimal solutions or taking a long time. In this paper, a new approach based on a meta-heuristic is proposed. Meta-heuristic approaches use processing, inference, and memory at the same time in order to learn how to improve the solution. Different meta-heuristic techniques and their applications to mine production scheduling are discussed. A meta-heuristic approach, a combination of heuristic memory and simulated annealing, as demonstrated by means of a case study, takes a sub-optimal solution and improves it over time; thus it provides the best solution that it finds in the given time.

    Keywords : Simulated annealing; mine production scheduling; open pit mining; mine planning; heuristic memory.

            · text in English     · English ( pdf )