Clustering is a very important technique of unsupervised learning which is used commonly in the applications of data analysis for organizing the data. One among the best of the protocols which are energy efficient is known as the LEACH. The Krill Herd Algorithm (KHA) has been inspired by an individual krill and its behaviour of herding. The algorithm is a simple one in terms of its concept and is also very easy in its implementation. It also has an ideal behaviour for the technique of data clustering thus attracting researchers in being used widely in the solving of several problems of optimization. The TABU Search (TS) is identified as a new meta-heuristic which guides the local search process that explores its solution space over and above its local optimality. The hybrid algorithms are either two or even more algorithms running with one another and complement one another in producing a synergy which is profitable from integration. For the purpose of this work, there was a hybrid Kill Herd Algorithm with the TABU search that is proposed for optimizing the selection of cluster search.
Volume 11 | 02-Special Issue
Pages: 1987-1995