Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Knowledge engineering mixed-integer linear programming: constraint
  typology   In this paper, we investigate the constraint typology of mixed-integer linear
programming MILP formulations. MILP is a commonly used mathematical programming
technique for modelling and solving real-life scheduling, routing, planning,
resource allocation, timetabling optimization problems, providing optimized
business solutions for industry sectors such as: manufacturing, agriculture,
defence, healthcare, medicine, energy, finance, and transportation. Despite the
numerous real-life Combinatorial Optimization Problems found and solved, and
millions yet to be discovered and formulated, the number of types of
constraints, the building blocks of a MILP, is relatively much smaller. In the
search of a suitable machine readable knowledge representation for MILPs, we
propose an optimization modelling tree built based upon an MILP ontology that
can be used as a guidance for automated systems to elicit an MILP model from
end-users on their combinatorial business optimization problems.

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The categories of this paper are: astro-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-lat
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The categories of this paper are: bayes-an
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The categories of this paper are: comp-gas
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The categories of this paper are: adap-org
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The categories of this paper are: econ
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The categories of this paper are: plasm-ph
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The categories of this paper are: nlin
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The categories of this paper are: physics
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The categories of this paper are: gr-qc
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The categories of this paper are: solv-int
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The categories of this paper are: ao-sci
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The categories of this paper are: cond-mat
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The categories of this paper are: funct-an
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The categories of this paper are: hep-ph