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.
