Simplified versions of Mathematical Optimizers for derivative free, no gradient, black box optimization.

One can say that this mathematical optimizer is on a class of its own, it solves Rosenbrock 600 Dimensions in less then one hour, on a sinlge thread on a slow computer.

Without any specific optimization for MNIST it can achieve a score of 97.89 percent.

A small recreation of Cell Machine used to test out optimizations. These optimizations may be replicated in TSC.

JADE is an Adaptive Differential Evolution with external archive, p-best selection, and is parallel in this implementation.

A simple but fast mathematical optimizer for no derivatives black-box optimization.

Powerful Mathematical Optimizers for BlackBox Optimization without direct derivatives.