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- Grid Search: Trying all possible combinations (feasible ones) of parameters.
- Gradient-Based Methods: Useful for continuous parameters, where the gradient of the objective function can guide the search.
- Genetic Algorithms: Inspired by natural selection, useful for complex, discrete search spaces.
- Simulated Annealing: A probabilistic technique inspired by annealing in metallurgy.
: Tracks material stock and allows for the reuse of leftovers (offcuts) from previous jobs. Detailed Reporting