a b s t r a c tThis paper hybridizes the gravitational search algorithm (GSA) with support vector machine (SVM) and makes a novel GSA-SVM hybrid system to improve classification accuracy with an appropriate feature subset in binary problems. In order to simultaneously optimize the input feature subset selection and the SVM parameter setting, a discrete GSA is combined with a continuous-valued GSA in this system. We evaluate the proposed hybrid system on several UCI machine learning benchmark examples. The results show that the proposed approach is able to select the discriminating input features correctly and achieve high classification accuracy which is comparable to or better than well-known similar classifier systems.
It is now well recognized that pure algorithms can be promisingly improved by hybridization with other techniques. One of the relatively new metaheuristic algorithms is Gravitational Search Algorithm (GSA) which is based on the Newton laws. In this paper, to enhance the performance of GSA, a novel algorithm called ''Kepler'', inspired by the astrophysics, is introduced. The Kepler algorithm is based on the principle of the first Kepler law. The hybridization of GSA and Kepler algorithm is an efficient approach to provide much stronger specialization in intensification and/or diversification. The performance of GSA-Kepler is evaluated by applying it to 14 benchmark functions with 20-1000 dimensions and the optimal approximation of linear system as a practical optimization problem. The results obtained reveal that the proposed hybrid algorithm is robust enough to optimize the benchmark functions and practical optimization problems. ª 2015 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.