An Improved Gravitation Search Algorithm for Unconstrained Optimization

Jia Nan Wang; Xiang Tao Li

doi:10.4028/www.scientific.net/AMR.143-144.409

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 143-144An Improved Gravitation Search Algorithm for...

An Improved Gravitation Search Algorithm for Unconstrained Optimization

Abstract:

Gravitation search algorithm (GSA) is a novel meta-heuristic algorithm introduced recently. In this paper, a study of boundary conditions is presented indicating the invisible wall technique outperforms absorbing and reflecting wall techniques in this framework. Experimental results show that our method is sound and efficient.

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Advanced Materials Research (Volumes 143-144)

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409-413

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.143-144.409

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Online since:

October 2010

Authors:

Jia Nan Wang, Xiang Tao Li

Keywords:

Gravitation Search Algorithm, Meta Heuristic Algorithm, Unconstraint Optimization

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