Long term production planning of open pit mines by ant colony optimization

Shishvan, Masoud Soleymani; Sattarvand, Javad

doi:10.1016/j.ejor.2014.07.040

Cited by 100 publications

(31 citation statements)

References 13 publications

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“…In the field of mining engineering, only a few studies have been carried out using ACO algorithm. A new metaheuristic approach based on ACO was proposed by Shishvan and Sattarvand [57] for the solution of the problem of open-pit mine production planning. Zhu and Xiao-ping [58] evaluated the indices of human accident at coal mines using ACO algorithm.…”

Section: Introductionmentioning

confidence: 99%

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

Saghatforoush

Monjezi

Faradonbeh

et al. 2015

Engineering with Computers

138

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Section: Introductionmentioning

confidence: 99%

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

Saghatforoush

Monjezi

Faradonbeh

et al. 2015

Engineering with Computers

138

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“…Ferland et al (2007) applied particle swarm optimisation metaheuristic to determine the sequential extraction of blocks in order to maximise net present value under precedence and extraction capacity constraints. Shishvan and Sattarvand (2015) applied ant colony optimisation metaheuristic to solve a case study with 350,000 blocks under mining and processing capacity constraints. Liu and Kozan (2016) developed two state-of-the-art graph-based algorithms without relying on any MIP optimiser to solve large-scale benchmark OPBS instances from MineLib (Espinoza et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of three metaheuristics for short-term open pit block sequencing

2016

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This paper presents the application of simulated annealing (SA), Tabu search (TS) and hybrid TS-SA to solve a real-world mining optimisation problem called open pit block sequencing (OPBS). The OPBS seeks the optimum extraction sequences under a variety of geological and technical constraints over short-term horizons. As industry-scale OPBS instances are intractable for standard mixed integer programming (MIP) solvers, SA, TS and hybrid TS-SA are developed to solve the OPBS problem. MIP exact solution is also combined with the proposed metaheuristics to polish solutions in feasible neighbourhood moves. Extensive sensitivity analysis is conducted to analyse the characteristics and determine the optimum sets of values of the proposed metaheuristics algorithms' parameters. Computational experiments show that the proposed algorithms are satisfactory for solving the OPBS problem.Additionally, this comparative study shows that the hybrid TS-SA is superior to SA or TS in solving the OPBS problem in several aspects.

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“…On the one hand, the study is to solve the investment risk caused by the uncertainties of economic and geological environment (Ramazan and Dimitrakopoulos 2013, Marcotte and Caron 2010, Lamghari and Dimitrakopoulos 2012, Godoy and Dimitrakopoulos 2004, Benndorf and Shishvan 2014. On the other hand, the emphasis of the study was on reducing the problems for the optimization algorithm, to make it more efficient and practical (Cullenbine et al 2011, Shishvan and Sattarvand 2015, Askari-Nasab et al 2011, Nasab et al 2010. However, different production schemes cause different damage of mine land and pollutant emission, thus triggering environment problem.…”

Section: Introductionmentioning

confidence: 99%

Production Scheduling of Open Pit Metal Mine with Ecological Cost

Wang

et al. 2017

GREE

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：The ecological costs related to the various optimized production schemes were calculated based on the designed ultimate pit. Moreover, the influence of the ecological costs on the selection of production schemes was discussed. In one designed pit, a series of geologically optimum pushbacks with sufficiently small increment were produced using the floating cone method founded on the principle of the highest metal content. Then all the pushbacks were reordered by the dynamic network diagram. The production scheme with the maximum NPV route was considered as the optimum one. The ecological impacts produced by mining were quantified and the ecological cost calculation models, which contain the direct eco-value loss, the indirect eco-value loss, the eco-restoration cost and the carbon emission cost were proposed. In one big open pit mine case, various production schemes were optimized and the one with maximum NPV was selected without taking into account the eco-costs. The scheme with the maximum comprehensive profit was obtained by calculating the eco-cost of each scheme. The results showed that the best scheme considered with the eco-cost was not the scheme with the maximum NPV. Therefore, the eco-cost presents the effect on the selection of the best production scheme.

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Long term production planning of open pit mines by ant colony optimization

Cited by 100 publications

References 13 publications

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

Comparative analysis of three metaheuristics for short-term open pit block sequencing

Production Scheduling of Open Pit Metal Mine with Ecological Cost

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