Gravitational search algorithm: R is better than R2?
ravitational Search Algorithm (GSA) is a metaheuristic population-based optimization algorithm inspired by the Newtonian law of gravity and law of motion. Ever since it was introduced in 2009, GSA has been employed to solve various optimization problems. Despite its superior performance, GSA has a f...
Main Authors: | Aliman, Mohamad Nizam (Author), Abas, Khairul Hamimah (Author), Najib, Muhammad Sharfi (Author), Ab. Aziz, Nor Azlina (Author), Mohamad, Mohd. Saberi (Author), Ibrahim, Zuwairie (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Research Publishing Network,
2016.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Simultaneous computation of model order and parameter estimation of a heating system based on gravitational search algorithm for autoregressive with exogenous inputs
by: Mohd. Azmi, Kamil Zakwan, et al.
Published: (2015) -
Improved gravitational search algorithm for proportional integral derivative controller tuning in process control system
by: Aziz, Mohamad Saiful Islam
Published: (2016) -
A random synchronous asynchronous particle swarm optimization algorithm with a new iteration strategy
by: Ab. Aziz, Nor Azlina, et al.
Published: (2015) -
PID offline tuning using gravitational search algorithm
by: Ab. Ghani, Zailani
Published: (2013) -
Design of adaptive backstepping with gravitational search algorithm for nonlinear system
by: Md. Rozali, Sahazati, et al.
Published: (2014)