Question: 1 . Choose a Real - World Problem:o Select a problem relevant to optimization ( e . g . , resource allocation, scheduling,or minimization of

1. Choose a Real-World Problem:o Select a problem relevant to optimization (e.g., resource allocation, scheduling,or minimization of costs in some process).o The problem must include constraints and objectives that can be formalized intoa standard optimization problem (i.e., objective function, constraints, andvariables).2. Standard Problem Formulation:o Clearly define the decision variables, constraints, and objective function in mathematical form.o The problem should be expressed in a form that allows solving with both exact and approximate methods (e.g., linear programming, integer programming, or non-linear programming).Deliverables for Part 1: A report section detailing the problem and how it has been mathematically formulated. Explanation of the relevance and importance of the problem to a real-world scenario.Part 2: Optimization Methods Implementation1. Implement Exact Optimization Methods:o Implement an exact method (e.g., Integer Linear Programming, gradientdescent, simplex method, branch-and-bound, etc.) to solve the problem.o Test and validate the performance of the method on the formulated problem.2. Implement Approximate Optimization Methods:o Implement at least one approximate method (e.g., simulated annealing, geneticalgorithms, or particle swarm optimization).o Test and compare the performance of the approximate method against the exactmethod in terms of solution quality, computational efficiency, and robustness. 3. Comparison and Analysis:o Compare the results obtained from exact and approximate methods in terms of optimality, time complexity, and practical usability.o Analyze the performance of the methods in different scenarios (e.g., different constraint sets or input data variations).o Discuss under what conditions each method is preferable. Deliverables for Part 2: Code implementations for both exact and approximate methods. A detailed report section that:o Explains the methodology behind each algorithm.o Includes a comparison between the results obtained from different methods. o Offers insight into the effectiveness of the methods.

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