Introduction
SwarmOps is a source-code library for doing numerical optimization
in the C# programming language. SwarmOps is aimed at practitioners
who must optimize some mathematical problem but wish to avoid
the hassle of doing a lot of research to find out which optimizers work well.
SwarmOps implements
Particle Swarm Optimization,
Differential Evolution,
Pattern Search,
Local Unimodal Sampling,
and Gradient Descent.
A number of common benchmark problems are also
provided, including: Sphere, Griewank, Ackley, Rosenbrock, and so on.
SwarmOps supports optimization constraints, parallel processing on multi-core CPUs,
and can find the behavioural (or control) parameters that makes
an optimizer perform well, which is done by employing another overlaid optimizer known as
Meta-Optimization.