Two-Step gravitational search algorithm

Tsung Ying Chiang, Ting Cheng Feng, Tzuu-Hseng S. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we present an efficient algorithm for solving optimization problems, which is based on gravitational search algorithm (GSA). In the proposed technique, called Two-Step method, the best solution of position will be considered and calculated with another agents, and the fitness of extended agents are compared with agents in original gravitation field, which can reinforce the exploration and exploitation performance. Ten benchmark functions are used to evaluate and to compare performance of the presented algorithm with GSA based on the same function evaluations. The initialized populations are produced randomly and are identical for each round of all the algorithms in the same benchmark function. The obtained results confirm the better performance of the proposed method in solving various nonlinear functions.

Original languageEnglish
Title of host publicationICCSS 2015 - Proceedings
Subtitle of host publication2015 International Conference on Informative and Cybernetics for Computational Social Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-98
Number of pages4
ISBN (Electronic)9781467372459
DOIs
Publication statusPublished - 2015 Sep 28
EventInternational Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2015 - Chengdu, Sichuan, China
Duration: 2015 Aug 132015 Aug 15

Other

OtherInternational Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2015
CountryChina
CityChengdu, Sichuan
Period15-08-1315-08-15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Chiang, T. Y., Feng, T. C., & Li, T-H. S. (2015). Two-Step gravitational search algorithm. In ICCSS 2015 - Proceedings: 2015 International Conference on Informative and Cybernetics for Computational Social Systems (pp. 95-98). [7281156] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSS.2015.7281156