The rapidly growing field of Nature Inspired Intelligent techniques consists of more than 200 algorithms. Thus, it is hard to keep an eye on all these schemes and study them. In this report all nature-inspired algorithms (NIAs) are classified according to the problems on which they were applied in the work that they were initially introduced. This taxonomy presents three classes: (a) algorithms without application, (b) algorithms tested only in benchmark functions and (c) algorithms coping with real world problems when they were initially introduced.

The interested researcher can find useful information about the initial application area of each Nature Inspired Intelligent (NII) algorithm, while he can also discover the paper into which every algorithm has been introduced in literature for the first time.

At the end of the report, the paper where each algorithm was initially proposed is cited.