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Introduction to pareto optimal mine planning

Appiah, Paul B. / Rosenman, Michael A. / Sturgul, John R.

Summary Recent advances in mathematical optimization have resulted in the development of superior techniques for solving realistic decision making problems. The technique called PARETO OPTIMAL SERIAL DYNAMIC PROGRAMMING is presented here as a tool for rational mine planning. This approach always enables the identification of a set of decision alternatives considered superior to the remaining feasible, usually numerous, decision alternatives, when a number of conflicting, noncommensurable, objectives are simultaneously optimized. It is further noted that the decision makers' truly preferred decision is always one of the members identified as the superior set.

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Introduction to pareto optimal mine planning

Appiah, Paul B. / Rosenman, Michael A. / Sturgul, John R.

Summary Recent advances in mathematical optimization have resulted in the development of superior techniques for solving realistic decision making problems. The technique called PARETO OPTIMAL SERIAL DYNAMIC PROGRAMMING is presented here as a tool for rational mine planning. This approach always enables the identification of a set of decision alternatives considered superior to the remaining feasible, usually numerous, decision alternatives, when a number of conflicting, noncommensurable, objectives are simultaneously optimized. It is further noted that the decision makers' truly preferred decision is always one of the members identified as the superior set.

Introduction to pareto optimal mine planning

Appiah, Paul B. / Rosenman, Michael A. / Sturgul, John R.

Summary Recent advances in mathematical optimization have resulted in the development of superior techniques for solving realistic decision making problems. The technique called PARETO OPTIMAL SERIAL DYNAMIC PROGRAMMING is presented here as a tool for rational mine planning. This approach always enables the identification of a set of decision alternatives considered superior to the remaining feasible, usually numerous, decision alternatives, when a number of conflicting, noncommensurable, objectives are simultaneously optimized. It is further noted that the decision makers' truly preferred decision is always one of the members identified as the superior set.

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Title:

Introduction to pareto optimal mine planning

Contributors:

Appiah, Paul B. (author) / Rosenman, Michael A. (author) / Sturgul, John R. (author)

Published in:

International Journal of Mining and Geological Engineering ; 8

Publication date:

1990

ISSN:

DOI:

https://doi.org/10.1007/BF00920646

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

mathematical optimization , decision making , Mine planning , dynamic programming

Classification:

BKL: 38.58 Geomechanik / 57.00 Bergbau: Allgemeines / 56.20 Ingenieurgeologie, Bodenmechanik
Local classification TIB: 275/3730/4800

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