ECTI TRANSACTIONS ON COMPUTER INFORMATION TECHNOLOGYVolume 12, No. 02, Month NOVEMBER, Year 2018, Pages 176 - 186
Enhancement of gravitational search algorithm using a differential mutation operator and its application on reconstructing gene regulatory network
Abstract Download PDFGravitational Search Algorithm (GSA) is a recent stochastic search algorithm that is inspired from the concepts of gravity rule and law of motion in physics.
Despite its success and attractiveness, it has some coefficients and parameters that should be properly tuned to improve its performance. This paper studies
the performance of GSA by varying the parameters that controls its gravitational force. Then a new differential mutation operator is proposed to enhance
performance of GSA by accelerating its convergence. The proposed algorithm, namely DMGSA, is evaluated using 15 well-known benchmark functions from the special session of CEC2013 with different characteristics including randomly shifted optimum, rotation and non-separability.Etc...
Gravitational Search Algorithm, Hybrid Algorithm, Differential Mutation, Gene Regulatory Network