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Project.toml

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name = "DisjunctiveProgramming"
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uuid = "0d27d021-0159-4c7d-b4a7-9ccb5d9366cf"
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authors = ["hdavid16 <[email protected]>"]
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version = "0.4.0"
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version = "0.4.1"
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[deps]
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JuMP = "4076af6c-e467-56ae-b986-b466b2749572"

paper/paper.fdb_latexmk

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paper/paper.log

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Output written on c:/Users/HD/Downloads/DisjunctiveProgramming.jl/paper/paper.pdf (6 pages, 349604 bytes).
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paper/paper.pdf

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paper/paper.tex

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Nesting of disjunctions is also supported.
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\subsection{Example}
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To illustrate the syntax in \verb|DisjunctiveProgramming.jl| (Version 0.4.0), consider the simple superstructure optimization problem for the chemical process given in Figure \ref{fig:superstruct_opt_diagram}. In this problem a chemical plant with two candidate reactor technologies ($R_1$ and $R_2$) must be designed. If the second reactor technology is chosen, a separation system must also be installed, for which two separation technologies ($S_1$ and $S_2$) are available. The GDP model seeks to maximize the product flow ($F_7$), while discounting for reactor ($C_R$) and separator ($C_S$) installation costs as given in \eqref{eq:example_obj}, subject to the nested disjunction in \eqref{eq:example_gdp} and the global mass balances in \eqref{eq:example_global}
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To illustrate the syntax in \verb|DisjunctiveProgramming.jl| (Version 0.4.1), consider the simple superstructure optimization problem for the chemical process given in Figure \ref{fig:superstruct_opt_diagram}. In this problem a chemical plant with two candidate reactor technologies ($R_1$ and $R_2$) must be designed. If the second reactor technology is chosen, a separation system must also be installed, for which two separation technologies ($S_1$ and $S_2$) are available. The GDP model seeks to maximize the product flow ($F_7$), while discounting for reactor ($C_R$) and separator ($C_S$) installation costs as given in \eqref{eq:example_obj}, subject to the nested disjunction in \eqref{eq:example_gdp} and the global mass balances in \eqref{eq:example_global}
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- \eqref{eq:example_global1}. The system variables are the flows on each stream $i$ ($F_i$) and the installation costs, with their respective bounds given in \eqref{eq:example_var1} - \eqref{eq:example_var3}. The fixed cost and process yield parameters are given by $\gamma$ and $\beta$, respectively.
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\begin{figure}

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