The package currently implements a random key genetic algorithm (RKGA) for solving permutation optimizations such as Flow-Shop Scheduling and Traveling Salesman.
I'm planning to enhance the algorithm and slightly change the optimizer by introducing new steps.
- Introducing new partition of population (elites + mutants + offspring)
- Introducing biased uniform crossover
- And other required steps to transform a RKGA into BRKGA.
The package currently implements a random key genetic algorithm (RKGA) for solving permutation optimizations such as Flow-Shop Scheduling and Traveling Salesman.
I'm planning to enhance the algorithm and slightly change the optimizer by introducing new steps.