A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems

Rafael Frederico Alexandre; Felipe Campelo; Carlos M. Fonseca; João Antonio De Vasconcelos

doi:10.1007/978-3-319-15892-1_29

A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems

Rafael Frederico Alexandre, Felipe Campelo, Carlos M. Fonseca, João Antonio De Vasconcelos

School of Engineering Mathematics and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

This work presents a comparison of results obtained by different methods for the Multiobjective Open-Pit Mining Operational Planning Problem, which consists of dynamically and efficiently allocating a fleet of trucks with the goal of maximizing the production while reducing the number of trucks in operation, subject to a set of constraints defined by a mathematical model. Three algorithms were used to tackle instances of this problem: NSGA-II, SPEA2 and an ILS-based multiobjective optimizer called MILS. An expert system for computational simulation of open pit mines was employed for evaluating solutions generated by the algorithms. These methods were compared in terms of the quality of the solution sets returned, measured in terms of hyper volume and empirical attainment function (EAF). The results are presented and discussed.

Original language	English
Title of host publication	Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Proceedings
DOIs	https://doi.org/10.1007/978-3-319-15892-1_29
Publication status	Published - 18 Mar 2015

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title = "A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems",

abstract = "This work presents a comparison of results obtained by different methods for the Multiobjective Open-Pit Mining Operational Planning Problem, which consists of dynamically and efficiently allocating a fleet of trucks with the goal of maximizing the production while reducing the number of trucks in operation, subject to a set of constraints defined by a mathematical model. Three algorithms were used to tackle instances of this problem: NSGA-II, SPEA2 and an ILS-based multiobjective optimizer called MILS. An expert system for computational simulation of open pit mines was employed for evaluating solutions generated by the algorithms. These methods were compared in terms of the quality of the solution sets returned, measured in terms of hyper volume and empirical attainment function (EAF). The results are presented and discussed.",

author = "Alexandre, {Rafael Frederico} and Felipe Campelo and Fonseca, {Carlos M.} and Vasconcelos, {Jo{\~a}o Antonio De}",

year = "2015",

month = mar,

day = "18",

doi = "10.1007/978-3-319-15892-1_29",

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booktitle = "Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Proceedings",

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A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems. / Alexandre, Rafael Frederico; Campelo, Felipe; Fonseca, Carlos M. et al.
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Proceedings. 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems

AU - Alexandre, Rafael Frederico

AU - Campelo, Felipe

AU - Fonseca, Carlos M.

AU - Vasconcelos, João Antonio De

PY - 2015/3/18

Y1 - 2015/3/18

N2 - This work presents a comparison of results obtained by different methods for the Multiobjective Open-Pit Mining Operational Planning Problem, which consists of dynamically and efficiently allocating a fleet of trucks with the goal of maximizing the production while reducing the number of trucks in operation, subject to a set of constraints defined by a mathematical model. Three algorithms were used to tackle instances of this problem: NSGA-II, SPEA2 and an ILS-based multiobjective optimizer called MILS. An expert system for computational simulation of open pit mines was employed for evaluating solutions generated by the algorithms. These methods were compared in terms of the quality of the solution sets returned, measured in terms of hyper volume and empirical attainment function (EAF). The results are presented and discussed.

AB - This work presents a comparison of results obtained by different methods for the Multiobjective Open-Pit Mining Operational Planning Problem, which consists of dynamically and efficiently allocating a fleet of trucks with the goal of maximizing the production while reducing the number of trucks in operation, subject to a set of constraints defined by a mathematical model. Three algorithms were used to tackle instances of this problem: NSGA-II, SPEA2 and an ILS-based multiobjective optimizer called MILS. An expert system for computational simulation of open pit mines was employed for evaluating solutions generated by the algorithms. These methods were compared in terms of the quality of the solution sets returned, measured in terms of hyper volume and empirical attainment function (EAF). The results are presented and discussed.

UR - https://research.aston.ac.uk/en/publications/a4431cd6-6026-4321-8077-f83d8e690074

U2 - 10.1007/978-3-319-15892-1_29

DO - 10.1007/978-3-319-15892-1_29

M3 - Conference Contribution (Conference Proceeding)

SN - 9783319158914

BT - Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Proceedings

ER -

A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems

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