Effective solution of the long-term open pit production planning problem using block clustering

Production planning of an open pit mine is defined as determining the extraction sequence of blocks in the final pit limit with the goal of maximizing Net Present Value (NPV) while considering the ...

[1]  Hamid Parvin,et al.  Elite fuzzy clustering ensemble based on clustering diversity and quality measures , 2018, Applied Intelligence.

[2]  William F. Punch,et al.  Data weighing mechanisms for clustering ensembles , 2013, Comput. Electr. Eng..

[3]  William F. Punch,et al.  Effects of resampling method and adaptation on clustering ensemble efficacy , 2011, Artificial Intelligence Review.

[4]  Daoqiang Zhang,et al.  WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory , 2016, IEEE Transactions on Cybernetics.

[5]  Ana L. N. Fred,et al.  Combining multiple clusterings using evidence accumulation , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  A. Mehrez,et al.  A Production Problem in Phosphate Mining , 1985 .

[7]  Behrooz Karimi,et al.  Long-term open pit mine production planning: a review of models and algorithms , 2008 .

[8]  Rajive Ganguli,et al.  A genetic algorithms approach for grade control planning in a bauxite deposit , 2005 .

[9]  Hamid Parvin,et al.  A fuzzy clustering ensemble based on cluster clustering and iterative Fusion of base clusters , 2019, Applied intelligence (Boston).

[10]  Anil K. Jain,et al.  Combining multiple weak clusterings , 2003, Third IEEE International Conference on Data Mining.

[11]  Mark Gershon,et al.  Optimal mine production scheduling: evaluation of large scale mathematical programming approaches , 1983 .

[12]  H. Askari-Nasab,et al.  Two-stage clustering algorithm for block aggregation in open pit mines , 2011 .

[13]  Kwame Awuah-Offei,et al.  Production Scheduling and Waste Disposal Planning for Oil Sands Mining Using Goal Programming , 2012 .

[14]  Chang-Dong Wang,et al.  Locally Weighted Ensemble Clustering , 2016, IEEE Transactions on Cybernetics.

[15]  Hamid Parvin,et al.  A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm , 2013, Pattern Analysis and Applications.

[16]  Mark Gershon,et al.  Optimizing single hole mine cuts by dynamic programming , 1989 .

[17]  Mohamed S. Kamel,et al.  Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  M. L. Smith,et al.  Optimizing inventory stockpiles and mine production: An application of separable and goal programming to phosphate mining using AMPL/Cplex , 1999 .

[19]  Paul Schumacher,et al.  Large-scale mine production scheduling optimisation with mill blending constraints at Newmont’s Twin Creeks Operation , 2016 .

[20]  K. Dagdelen,et al.  Fundamental tree algorithm in optimising production scheduling for open pit mine design , 2005 .

[21]  Ludmila I. Kuncheva,et al.  Using diversity in cluster ensembles , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[22]  Martin L. Smith,et al.  Medium-Term Production Scheduling of the Lumwana Mining Complex , 2014, Interfaces.

[23]  Ana L. N. Fred,et al.  Learning Pairwise Similarity for Data Clustering , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[24]  Graham C. Goodwin,et al.  Receding horizon control applied to optimal mine planning , 2006, Autom..

[25]  Teofilo F. Gonzalez,et al.  On the computational complexity of clustering and related problems , 1982 .

[26]  Hamid Parvin,et al.  Clustering ensemble selection considering quality and diversity , 2015, Artificial Intelligence Review.

[27]  Ujjwal Maulik,et al.  Genetic algorithm-based clustering technique , 2000, Pattern Recognit..

[28]  Juan Peypouquet,et al.  Aggregation heuristic for the open-pit block scheduling problem , 2016, Eur. J. Oper. Res..

[29]  Hamid Parvin,et al.  A comprehensive study of clustering ensemble weighting based on cluster quality and diversity , 2017, Pattern Analysis and Applications.

[30]  Salih Ramazan,et al.  The new Fundamental Tree Algorithm for production scheduling of open pit mines , 2007, Eur. J. Oper. Res..

[31]  Roussos G. Dimitrakopoulos,et al.  Global optimization of open pit mining complexes with uncertainty , 2016, Appl. Soft Comput..

[32]  Hamid Parvin,et al.  Consensus Function Based on Clusters Clustering and Iterative Fusion of Base Clusters , 2019, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[33]  E. Chanda,et al.  Long Term Production Scheduling Optimisation for a Surface Mining Operation: An Application of MineMax™ Scheduling Software , 2002 .

[34]  Hamid Parvin,et al.  A clustering ensemble framework based on elite selection of weighted clusters , 2013, Adv. Data Anal. Classif..

[35]  H. Askari-Nasab,et al.  A linear programming model for long-term mine planning in the presence of grade uncertainty and a stockpile , 2014 .

[36]  Ana L. N. Fred,et al.  Cluster Ensemble Methods: from Single Clusterings to Combined Solutions , 2008 .

[37]  Hamid Parvin,et al.  Cluster ensemble selection based on a new cluster stability measure , 2014, Intell. Data Anal..

[38]  Kwame Awuah-Offei,et al.  Large-scale open pit production scheduling using Mixed Integer Linear Programming , 2010 .

[39]  Zahir Tari,et al.  A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis , 2014, IEEE Transactions on Emerging Topics in Computing.

[40]  Joydeep Ghosh,et al.  Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..

[41]  Hamid Parvin,et al.  Diversity based cluster weighting in cluster ensemble: an information theory approach , 2019, Artificial Intelligence Review.

[42]  Anil K. Jain Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[43]  Darwin Klingman,et al.  Integer Programming for Optimal Phosphate-Mining Strategies , 1988 .