Enhanced Differential Evolution with Fuzzy c-Means Technique
This chapter introduces another new variant of Evolutionary Algorithm named enhanced Differential Evolution (eDE). eDE is incorporated with fuzzy c-means technique to perform clustering of data. In this approach, the search strategy of eDE algorithm is combined with the fuzzy c-means technique and this technique is then applied on clustering of dataset.
- 1.Coello, C.A.C.: Multi-objective evolutionary algorithms in real-world applications: some recent results and current challenges. Advances in Evolutionary and Deterministic Methods for Design, pp. 3–18. Springer International Publishing, Optimization and Control in Engineering and Sciences (2015)Google Scholar