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A tutorial on using the matlab optimization toolbox to solve a constrained optimization problem. It includes step-by-step instructions for writing the objective function and non-linear constraints, running the optimization with different starting points, and analyzing the results. The goal is to maximize the given objective function subject to various inequality constraints on the variables x1 and x2. This document would be useful for students studying numerical optimization, mathematical programming, or matlab programming in the context of engineering, applied mathematics, or computer science courses. It could serve as study notes, lecture notes, or an assignment for university-level courses related to optimization, matlab, or numerical methods.
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Read carefully the tutorial on Matlab Optimization Toolbox and program the Constrained Optimization Example: Inequalities (https://fr.mathworks.com/help/optim/ug/optimization-toolbox-tutorial.html). Questions: Solve the optimization problem below: ๐๐๐ฅ
a) Write the Matlab functions for the objective function and non-linear constraints and upload them. b) Write the Matlab script to run optimization and upload it. c) Set the starting point at the center of the search space (๐ฅ 1 = 5 , ๐ฅ 2 = 5 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? d) Set the starting point at (๐ฅ 1 = 0 , ๐ฅ 2 = 0 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? e) Set the starting point at (๐ฅ 1 = 10 , ๐ฅ 2 = 10 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? f) Set the starting point at (๐ฅ 1 = 0 , ๐ฅ 2 = 10 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? g) Set the starting point at (๐ฅ 1 = 10 , ๐ฅ 2 = 0 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? h) Set the starting point at (๐ฅ 1 = 5 , ๐ฅ 2 = 0 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? i) Set the starting point at (๐ฅ 1 = 5 , ๐ฅ 2 = 10 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? j) Set the starting point at (๐ฅ 1 = 0 , ๐ฅ 2 = 5 ) and run optimization. Is the optimization successful? What are the best values of objective and variables? k) Set the starting point at (๐ฅ 1 = 10 , ๐ฅ 2 = 5 ) and run optimization. Is the optimization successful? What are the best values of objective and variables?