Species Explorer: An interface for artistic exploration of multi-dimensional parameter spaces

This paper describes Species Explorer, an interface to allow creative exploration of generative systems with multi-dimensional parameter spaces. The system combines both evolutionary and machine learning approaches. It was originally designed to assist creating work for the author's 'Cellular Forms' and 'Hybrid Forms' series, where a large number of parameters are used to yield emergent results, but is a general framework that could be applied to many other systems.