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Consider the following examples of real - world optimisation problems. For each problem, define appropriate decision variables, and formulate the objective function and constraints mathematically.

Consider the following examples of real-world optimisation problems. For each problem, define appropriate decision variables, and formulate the objective function and constraints mathematically. Finally, classify the optimisation problem according as belonging to one of the classes of optimization. You are not required to solve the problems.
(a) WooDecor manufactures two types of wooden decor items: Floating shelves and rails. A floating shelf sells for R500 and is manufactured from R200 worth of raw materials. Each floating shelf manufactured increases WooDecors variable labour and overhead costs by R250. A rail sells for R450 and is manufactured from R220 worth of raw materials. Each rail manufactured increases WooDecors variable labour and overhead costs by R200. The manufacturing of wooden floating shelves and rails requires two types of skilled labour: Carpentry labour and finishing labour. A floating shelve requires 3 hours of finishing labour and 1.5 hours of carpentry labour, while a rail requires 1.5 hours of finishing labour and 1.5 hours of carpentry labour. Each week, WooDecor can obtain all the raw materials it requires, but only 150 finishing hours and 120 carpentry hours are available each week. Demand for rails is unlimited, but at most 30 floating shelves are bought each week. WooDecor wishes to maximise its weekly profit (revenues less costs). Formulate an optimisation problem that will inform of WooDecor how to go about maximising its weekly profit.
(b) Investo is considering four investment options. Investment 1 is expected to yield a net present value (NPV) of R12000; investment 2, an NPV of R16500; investment 3, an NPV of R9000; and investment 4, an NPV of R6000. Investing in an investment requires a certain cash outflow at the present time:
Investment 1, R3750; investment 2, R5250; investment 3, R3000; and investment 4, R2250. Investo
can either invest fully in an investment, or not at all (fractions of investments are not possible).
Currently, R10500 is available for investment and Investo cannot invest in more than two options.
Formulate an optimisation problem whose solution will inform Investo how to maximize the NPV
obtained from the investments selected.
(c) Suppose you aim to firstly, find high-quality hyper-parameter values for a one layer perceptron, i.e. standard feedforward neural network comprising one hidden layer. Secondly, you want to optimise the neural network architecture, specifically the hidden layer. Propose appropriate decision variables and one or more objective function to achieve this aim.

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