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Paper Information

Journal:   JOURNAL OF ADVANCES IN COMPUTER RESEARCH   MAY 2012 , Volume 3 , Number 2; Page(s) 45 To 51.
 
Paper: 

ON THE CONVERGENCE ANALYSIS OF GRAVITATIONAL SEARCH ALGORITHM

 
 
Author(s):  GHORBANI FARZANEH, NEZAMABADI POUR HOSSEIN*
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, SHAHID BAHONAR UNIVERSITY OF KERMAN, KERMAN, IRAN
 
Abstract: 

Gravitational search algorithm (GSA) is one of the newest swarm based optimization algorithms, which has been inspired by the Newtonian laws of gravity and motion. GSA has empirically shown to be an efficient and robust stochastic search algorithm. Since introducing GSA a convergence analysis of this algorithm has not yet been developed. This paper introduces the first attempt to a formal convergence analysis of the standard gravitational search algorithm which involves with randomness and time varying parameters. In this analysis the behavior of GSA on the facet of mass interaction is considered. The paper provides a formal proof that each object converges to a stable point.

 
Keyword(s): ANALYSIS OF ALGORITHMS, HEURISTIC OPTIMIZATION, SWARM INTELLIGENCE, GRAVITATIONAL SEARCH ALGORITHM, CONVERGENCE
 
 
References: 
 
Citations: 
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+ Click to Cite.
APA: Copy

GHORBANI, F., & NEZAMABADI POUR, H. (2012). ON THE CONVERGENCE ANALYSIS OF GRAVITATIONAL SEARCH ALGORITHM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 3(2), 45-51. https://www.sid.ir/en/journal/ViewPaper.aspx?id=276783



Vancouver: Copy

GHORBANI FARZANEH, NEZAMABADI POUR HOSSEIN. ON THE CONVERGENCE ANALYSIS OF GRAVITATIONAL SEARCH ALGORITHM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH. 2012 [cited 2021July26];3(2):45-51. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=276783



IEEE: Copy

GHORBANI, F., NEZAMABADI POUR, H., 2012. ON THE CONVERGENCE ANALYSIS OF GRAVITATIONAL SEARCH ALGORITHM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, [online] 3(2), pp.45-51. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=276783.



 
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