This paper presents a hybrid optimisation method based on the fusion of the clonal selection algorithm (CSA) and harmony search (HS) technique. The CSA is employed to improve the harmony memory members in the HS method. The hybrid optimisation algorithm is further used to optimise Sugeno fuzzy classification systems for the Fisher Iris data and wine data classification. Computer simulations res...

Meta-heuristic algorithms are well-known optimization methods, for solving real-world problems. Harmony search (HS) is a recognized meta-heuristic algorithm with an efficient exploration process. But the HS has slow convergence rate, which causes to have weak exploitation process in finding global optima. Different variants of introduced literature enhance and fix its problems, but most cases, ...