package documentation
Basic implementations of some optimization algorithms namely
purecma.fminandpurecma.CMAES: a basic and readible CMA-ES implementation where the core algorithm is coded in under 40 lines (in the methodCMAES.tell)compact_ga.CompactGA: compact GA which is the most logical abstraction of an genetic algorithm as an estimation of distribution algorithm
| Module | compact |
Compact GA minimal implementation |
| Module | purecma |
A minimalistic implemention of CMA-ES without using numpy. |