The Optimal Packing App is a powerful tool designed to solve complex packing problems. Whether you're dealing with 2D or 3D spaces, designed algorithms ensure efficient packing solutions.

• GA + BLF: Utilizes Genetic Algorithm combined with Bottom-Left Fill.
• GA (using Evotorch) + BLF: Uses GA from Evotorch library and combines it with Bottom-Left Fill.
• Pointer Network + MAXRECT: Uses a Pointer Network approach combined with the MAXRECT algorithm.

• GA + DBLF: Implements Genetic Algorithm combined with Deepest Bottom-Left Fill.
• GA (using Evotorch) + DBLF: Uses GA from Evotorch library and combines it with Deepest Bottom-Left Fill.
• Pointer Network + DBLF: Uses a Pointer Network approach combined with the Deepest Bottom-Left Fill algorithm.

Additionally, a mobile app was developed for this project that uses AR to enhance 3D problem visualization:

The app outputs a 2D or 3D plot for the given problem.

To get started with the Optimal Packing App:

1. Clone the repository:

   git clone https://github.com/mwitjez/Optimal-packing.git

2. Navigate to the project directory and install the required packages:

    cd Optimal-packing
    pip install -r requirements.txt

The project offers an API to solve 3D optimal packing problems.

Endpoint:

POST /packit

Sample Request Body:

{
  "cuboids": [
    {
      "width": 4,
      "height": 1,
      "depth": 10
    },
    {
      "width": 5,
      "height": 5,
      "depth": 9
    }
  ]
}

• @Mateusz Witka-Jeżewski

• Scalable Evolutionary Computation in Python (https://github.com/nnaisense/evotorch)
• rectpack (https://github.com/secnot/rectpack)
• Pointer Network (https://github.com/shirgur/pointernet)