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Give the description of the Simulated Annealing function optimization method for minimizing continuous functions: Algorithmic and Computational Mathematics Course Work, UOL, UK
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| University | University of London (UOL) |
|---|---|
| Subject | Algorithmic and Computational Mathematics |
- Give the description of the Simulated Annealing function optimization method for minimizing continuous functions. Include its concept, mathematical formulation, and algorithmic implementation.
- In what aspect(s) the method can be varied? How do variations influence its performance? What are the advantages and deficiencies of the variants of the method?
- Minimize the function for 𝑛 = 2 using your implementation of the method. Analyze the results for various values of the parameters of the method.
- Quantitatively estimate the performance of the method. Explain the differences in performance depending on the parameters of the method.
- Plot the optimization trajectory, and analyze its dependence on the parameter of the method.
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