# MinCost
A collection of modern heuristic optimization toolkit.

## Overwiew

1. Genetic Algorithm

2. Simulated Annealing

3. Particle Swarm

4. Tabu Search(TODO)


## Features

* Easy to embed

  This is the primary design goal of mincost. See how to embed genetic algorithm into your Rust project, please refer to [examples](examples/ga_examples)

* Flexiable encoding style

  In mincost, you can encode your solution with various style. ie, in i32, i16, i8 and even boolean.

* Initialize solution by custom randness

  The solution can be initialized by your custom randomization strategy by closure. Refer to [examples](examples/ga_examples)

## License

Licensed under either of these:

 * Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or
   https://www.apache.org/licenses/LICENSE-2.0)
 * MIT license ([LICENSE-MIT](LICENSE-MIT) or
   https://opensource.org/licenses/MIT)

The project is in the early stage of construction, especially docs && examples.