A hybrid algorithm based on gravitational search algorithm for unimodal optimization
Mohammad Doraghinejad, Hossein Nezamabadi–pour, Armindokht Hashempour Sadeghian, Malihe Maghfoori · 2012
Nowadays, utilizing heuristic algorithms is highly appreciated in solving optimization problems. The fundamental of these algorithms are inspired by nature. The gravitational search algorithm (GSA) is a novel heuristic search algorithm which is invented by using law of gravity and mass interactions. In this paper, a new operator is presented which is called “the black hole”. This operator is inspired by the concept of an astronomy phenomenon. By adding the black hole operator, the exploitation of the GSA is improved. The proposed algorithm is evaluated by seven standard unimodal benchmarks. The results obtained demonstrate better performance of the proposed algorithm in comparison with those of the standard GSA and other version of GSA which is equipped with the disruption operator.