Adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy-Reference-Cited by-同舟云学术

Adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy

Published:2017-06-20 Issue:7 Volume:42 Page:1103-1121
ISSN:0256-2499
Container-title:Sādhanā
language:en
Short-container-title:Sādhanā

Author:

Ab Aziz Nor Azlina^ORCID,Ibrahim Zuwairie,Mubin Marizan,Sudin Shahdan

Funder

Ministry of Higher Education, Malaysia

Universiti Malaya

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s12046-017-0674-0.pdf

Reference51 articles.

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3. Ibrahim Z, Muhammad B, Ghazali K H, Lim K S, Nawawi S W and Yusof Z M 2012 Vector evaluated gravitational search algorithm (VEGSA) for multi-objective optimization Problems. In: Proceedings of the Computational Intelligence, Modelling and Simulation (CIMSiM), Fourth International Conference on, pp. 13–17

4. Yazdani S, Nezamabadi-pour H and Kamyab S 2014 A gravitational search algorithm for multimodal optimization. Swarm Evolutionary Comput. 14: 1–14

5. Rashedi E, Nezamabadi-Pour H and Saryazdi S 2010 BGSA: binary gravitational search algorithm. Nat. Comput. 9: 727–745

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