Improved data clustering using multi-trial vector-based differential evolution with gaussian crossover
Parham Hadikhani, Daphne Teck Ching Lai, Wee-Hong Ong, Mohammad H. Nadimi-Shahraki · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2022
In this paper, an Improved version of the Multi-Trial Vector-based Differential Evolution (IMTDE) algorithm is proposed and adapted for clustering data. The purpose here is to enhance the balance between the exploration and exploitation mechanisms in MTDE by employing Gaussian crossover and modifying the sub-population distribution between the strategies. Results show that IMTDE is superior to the compared algorithms in most 19 datasets used. The code is available here: https://github.com/parhamhadikhani/IMTDEClustering.