(niching method in) multimodal optimisation
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Our recent works are connected with niching methods in multi modal optimisation problems, where NTGA2 adaptation (called GaMeDe) proved to be very effective (2nd price -- GECCO 2020 Competition on Niching Methods for Multimodal Optimization).
Example of multimodal optimisation GaMeDe results (CEC2013, problem 13) GaMeDe (and modified GaMeDE2) method is publised in the articles:
M.Antkiewicz, P.B.Myszkowski, M.Laszczyk, "GaMeDE2—improved Gap–based Memetic Differential Evolution applied to Multimodal Optimization", 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS 2022)
DOI: https://doi.org/10.15439/2022F153
Laszczyk M., Myszkowski P., "A Gap–based Memetic Differential Evolution (GaMeDE) applied to multi–modal optimisation – using multi–objective optimization concepts", ACIIDS 2021 (best student paper). 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021.
DOI: https://doi.org/10.1007/978-3-030-73280-6_17