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https://github.com/cbl/informatiCup2022

An application of tabu-enhanced genetic search to the railway optimization problem introduced in the informatiCup2022 by the German Informatics Society (:2nd_place_medal:)
https://github.com/cbl/informatiCup2022

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An application of tabu-enhanced genetic search to the railway optimization problem introduced in the informatiCup2022 by the German Informatics Society (:2nd_place_medal:)

Host: GitHub
URL: https://github.com/cbl/informatiCup2022
Owner: cbl
Created: 2021-11-16T00:11:02.000Z (almost 3 years ago)
Default Branch: main
Last Pushed: 2022-05-13T19:00:00.000Z (over 2 years ago)
Last Synced: 2024-10-27T21:16:07.192Z (19 days ago)
Language: Rust
Homepage:
Size: 993 KB
Stars: 14
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: readme.md

Awesome Lists containing this project

README

        # informatiCup2022

An application of tabu-enhanced genetic search to the railway optimization problem introduced in the [informatiCup2022](https://informaticup.github.io/competition/20-current) by the [German Informatics Society (GI)](https://gi.de/).

:2nd_place_medal: The project was awarded 2nd place. The project presentation can be seen on [youtube](https://www.youtube.com/watch?v=HXvYeeYx5bI&t=3280s).

## Table Of Contents

-   [Introduction](#introduction)

-   [Usage](#usage)

    -   [Using cargo](#cargo-usage)

    -   [Using Docker](#docker-usage)

    -   [Advance Usage](#advance)

        -   [Tip](#tip)

-   [Tests](#tests)

-   [Documentation](#docs)

-   [Benchmarks](#benchmarks)

-   [Coding Style](#coding-style)



## Introduction

This readme contains a usage guide for the program. The theoretical elaboration can be found in the [paper](paper/paper.pdf).



## Usage



### Using cargo

Create a build using the following command:

```shell

cargo build --release

```

Then pass the input model via stdin to the binary:

```shell

cat test-cases/long/input.txt | ./target/release/rstrain

```



### Using Docker

You may use the docker container to run the programm.

Create a build first:

```shell

docker build . -t rstrain

```

...and run it via:

```shell

cat test-cases/long/input.txt | docker run --interactive rstrain

```



### Advanced Usage

The advanced usage of the program can be printed via the `--help` flag.

```shell

USAGE:

    rstrain [FLAGS] [OPTIONS]

FLAGS:

    -d, --debug      Prints detailed information about the result

    -p, --plot       Plots the fitness progress, plots are located in ./plots

    -h, --help       Prints help information

    -V, --version    Prints version information

OPTIONS:

    -s, --tabu-size     Size of tabu list, increase for large models (default 8000000)

    -t, --time          Max search duration in milliseconds (default 600000)

    -m, --t-max         The latest time, increase when a solution with a total delay of 0 cannot be found, default

                              value is the latest arrival time of all passengers

```



#### Tip

The `--debug` and `--plot` flags come in handy, when it comes to understanding a the progess and performance of a search process for a model.

For example:

```shell

cat test-cases/long/input.txt | ./target/release/rstrain --debug --plot

```

plots the fitness progress into a graph and prints detailed information similar to the following example:

```

...

+---------------------+---------+

| duration            | 0.440s  |

+---------------------+---------+

| compared moves      | 1365533 |

+---------------------+---------+

| compared moves / ms | 3103    |

+---------------------+---------+

| delays              | 0       |

+---------------------+---------+

| arrived passengers  | 721/721 |

+---------------------+---------+

| t-max               | 6291    |

+---------------------+---------+

```



## Tests

Tests can be executed via:

```shell

cargo test

```



## Documentation

A web version of the program's documentation can be created and opened using

the following command:

```shell

cargo doc --open

```



## Benchmarks

**Note**: Benchmarks use unstable features of the rust programming languages, which are currently only available on the [nightly channel](https://rust-lang.github.io/rustup/concepts/channels.html#working-with-nightly-rust).

Benchmarks can be run via:

```shell

cargo bench

```



## Coding Style

Rusts standard code formatter [rustfmt](https://github.com/rust-lang/rustfmt) is used for ensure coding style consistency. It can be run via:

```shell

cargo fmt

```