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README.md

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@@ -9,6 +9,7 @@ By combining advanced genetic algorithms with a refined packing technique, we ta
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*For a detailed description of the methods and background have a look at the project [report](https://github.com/Nivedha-Ramesh/Container-Loading-Problem/blob/master/Report.pdf).*
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**Getting Started**
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To get started with this project, clone this repository to your local machine.
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```
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**Running the Algorithm**
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To run the packing algorithm with the provided dataset (input.json), execute the main.py script:
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```bash
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python main.py
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```
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The script will proceed to execute the packing algorithm, saving the visualizations as below.
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3D Visualization of the True Solution
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![True Solution](https://github.com/Nivedha-Ramesh/Container-Loading-Problem/blob/master/Figures/True%20Solution.png)
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3D Projection of one of the Rank1 Solutions
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![Rank 1 solution](https://github.com/Nivedha-Ramesh/Container-Loading-Problem/blob/master/Figures/Rank1%20Solution.png)
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Variation of Average Fitness Values over Generations
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![Fitness Variation](https://github.com/Nivedha-Ramesh/Container-Loading-Problem/blob/master/Figures/Fitness%20Variation.png)
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Visualization of the Pareto Front
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![Pareto Front](https://github.com/Nivedha-Ramesh/Container-Loading-Problem/blob/master/Figures/Pareto.png)
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**Contact**
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Your Name - [[email protected]](mailto:youremail@[email protected])
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Nivedha Ramesh - [[email protected]](mailto:youremail@[email protected])

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