Performance and Diversity of Gravitational Search Algorithm
GSA is a physic inspired optimization algorithm. It is based on how bodies in the universe are attracted to each other by gravitational force between them. The performance of GSA is studied here using benchmark functions. The diversity of the search agents of GSA is also studied. The findings show t...
Main Authors: | Nor Azlina, Ab. Aziz, Marizan, Mubin, Zuwairie, Ibrahim, Sophan Wahyudi, Nawawi |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
The Institute of Internet, Broadcasting and Communication
2014
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/8313/1/Performance_and_Diversity_of_Gravitational_Search_Algorithm.pdf |
Similar Items
-
Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
by: Nor Azlina, Ab. Aziz, et al.
Published: (2017) -
Gravitational Search Algorithm for Assembly Sequence Planning
by: Ismail, Ibrahim, et al.
Published: (2014) -
A random synchronous-asynchronous particle swarm optimization algorithm with a new iteration strategy
by: Ab. Aziz, Nor Azlina, et al.
Published: (2015) -
A random synchronous asynchronous particle swarm optimization algorithm with a new iteration strategy
by: Ab. Aziz, Nor Azlina, et al.
Published: (2015) -
An Assembly Sequence Planning Approach with a Rule-based Multi-state Gravitational Search Algorithm
by: Ismail, Ibrahim, et al.
Published: (2015)