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 # Simulation-Annealing-Implement
-Solving NSP problems using simulated annealing
+This repository contains a rust implementation of the Simulated Annealing (SA) algorithm, a probabilistic technique for approximating the global optimum of a given function. Specifically, this implementation can be applied for solving the Traveling Salesman Problem (TSP).
+## Getting Started
+### __Prerequisites__
+To compile and run this project, the following prerequisites are required:
+- __Rust__: The Rust programming language.
+- __Cargo__: The Rust package manager.
+- Other Rust packages including: `regex`, `rand`, calamine and `std`.
+### Installation
+Clone the repository to your local machine:
+```
+git clone https://github.com/<username>/<repository>.git
+```
+Navigate to the project directory:
+```
+cd simulated-annealing-rust
+```
+Build the project:
+```
+cargo build
+```
+## Usage
+The algorithm can be executed from the command line with the following command:
+```
+cargo run -- --input=<path_to_input_file> --output=<path_to_output_file> --config=<path_to_config_file>
+```
+- `--input`: Specifies the path to the input Excel file (.xlsx) that contains the 2D coordinates of the points.
+- `--output`: Specifies the path to the output text file where the results will be saved.
+- `--config`: Specifies the path to the configuration text file that contains the parameters of the algorithm.
+## Configuration
+The configuration file allows to tune the parameters of the SA algorithm:
+- `initial_temperature`: The initial temperature of the system.
+- `minimum_temperature`: The minimum temperature of the system.
+- `temperature_decay`: The rate at which the temperature decays.
+- `max_iterations`: The maximum number of iterations.
+- `generation_method`: The method to generate the next solution. This can be `Swap` or `Reverse`.
+- `cooling_method`: The method for cooling. This can be `ExponentialMultiplicativeCooling`, `LogarithmicMultiplicativeCooling`, `LinearMultiplicativeCooling`, or `QuadraticMultiplicativeCooling`.
+## Output
+-  The program will produce an output text file with the following information:
+- The current iteration count.
+- The change in energy (ΔE).
+- The current temperature (T).
+- The probability of acceptance of a new solution.
+- The final solution (a sequence of points representing a possible solution for the TSP).
+- The total path length of the solution.
+- The total execution time.