This competition is organized in association with the 2015 IEEE CEC Special Session on Niching Methods for Multimodal Optimization. The aim of the competition is to provide a common platform that encourages fair and easy comparisons across different niching algorithms. The competition allows participants to run their own niching algorithms on 20 benchmark multimodal functions with different characteristics and levels of difficulty. Researchers are welcome to evaluate their niching algorithms using this benchmark suite, and report the results by submitting a paper to the associated niching special session (i.e., submitting via the online submission system of CEC'2015).
In the case if you cannot attend CEC'15, we encourage you to submit a short report about your algorithm and results. You can submit the report directly to the special session organizer Xiaodong Li, in order to be counted in the competition. More specifically, the authors are expected to submit the solutions found in this report, in order for us to validate the results. Please follow the format of the reports in the following link: https://github.com/mikeagn/CEC2013/tree/master/NichingCompetition2013FinalData .
Test suite for the competiion as well as the performance measures are implemented in Matlab, Java and C++, and available for download here. Please read the following technical report about these benchmark functions:
Reference: X. Li, A. Engelbrecht, and M.G. Epitropakis, ``Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization'', Technical Report, Evolutionary Computation and Machine Learning Group, RMIT University, Australia, 2013.
Manuscripts should be prepared according to the standard format and page limit of regular papers specified in CEC'2015 and submitted through the CEC'2015 website: CEC 2015 submissions. Special session papers will be treated in the same way as regular papers and included in the conference proceedings.
If you miss the above deadline, please submit your results in a report directly to Xiaodong Li, no later than 1 May 2015.