Accelerative gravitational search algorithm
Aditi Gupta, Nirmala Sharma, HARISH KUMAR SHARMA · 2016
Gravitational search algorithm (GSA) is a meta-heuristic search algorithm based on the Newton's gravity law. In this article, a new variant of GSA is introduced, namely Accelerative Gravitational Search Algorithm (AGSA). In the proposed AGSA, an acceleration coefficient is introduced in the velocity update equation to control the acceleration of the individual. In the proposed position update process individuals are allowed to explore the search space in early iterations while exploitation in later iterations. The reliability, robustness and accuracy of the proposed algorithm is measured through various statistical analyses over 12 complex test problems. To show the competitiveness of the proposed strategy, the reported results are compared with the results of GSA, Biogeography Based Optimization (BBO), and Differential Evaluation (DE) algorithms.