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 generic algorithm into your Rust project, please refer to 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

License

Licensed under either of these:

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

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