implementation of a particle swarm optimization.

This library stems from learning about meta-heuristics, specifically pso, in an Adaptive Optimization course at Auburn University. After becoming familar with the mechanics, I decided to generalize the framework to increase accessability.

An example use case Visual Studio console project is included named PSO_Example (with the solution) . Import the library into your C# project.

1. Define your encoding.

   Generally, the pso is applied to multi-dimensional continuous space problems. The List is n-dimension in size containing the input values.

2. Define your objective function.

   This is the value you are attempting to optimize ( maximize / minimize ).

3. Set the search parameters.

   These include the bounds on the input values, maximum particle velocity, and psuedo-random number generator seed. There are other PSO specific values such as rho1, rho2, (weights) and K that can set.

The returned solution will be the best solution found during the search.

• Use arrays instead of Lists.

  I chose lists to allow for any size of information to be used without the need to specify size.