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Mining and process industries

Description
Problem name and type, featuresDifficultyRelated examples
A‑1 Production of alloys: Blending problem

formulation of blending constraints; data with numerical indices, solution printout, if-then, getsol
* blending_graph.mos
A‑2 Animal food production: Blending problem

formulation of blending constraints; data with string indices, as, formatted solution printout, use of getsol with linear expressions, strfmt
* a1alloy.mos
A‑3 Refinery : Blending problem

formulation of blending constraints; sparse data with string indices, dynamic initialization, union of sets
** a2food.mos
A‑4 Cane sugar production : Minimum cost flow (in a bipartite graph)

mo ceil, is_binary, formattext
* e2minflow.mos, mincostflow_graph.mos
A‑5 Opencast mining: Minimum cost flow

encoding of arcs, solving LP-relaxation only, array of set
** a4sugar.mos
A‑6 Production of electricity: Dispatch problem

inline if, is_integer, looping over optimization problem solving
**


Further explanation of this example: 'Applications of optimization with Xpress-MP', Chapter 6: Mining and process industries (blending problems)

mosel_app_1.zip[download all files]

Source Files

Data Files





a4sugar.dat

! Data file for `a4sugar.mos'

LOSS: [43 26 37 28 13 54 62 49 19 28 30]
LIFE: [ 8  8  2  8  4  8  8  8  6  8  8]

DUR: 2

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