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HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space

  • Published:2021-12-05 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 IEEE Symposium Series on Computational Intelligence (SSCI)
  • language:
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Author:

Mousavirad Seyed Jalaleddin1,Schaefer Gerald2,Korovin Iakov3,Oliva Diego4,Moghadam Mahshid Helali5,Saadatmand Mehrdad6

Affiliation:

1. Hakim Sabzevari University,Computer Engineering Department,Sabzevar,Iran

2. Loughborough University,Department of Computer Science,Loughborough,U.K.

3. Southern Federal University,Taganrog,Russia

4. Universidad de Guadalajara,Depto. de Ciencias Computacionales,Guadalajara,Mexico

5. RISE Research Institutes of Sweden Mälardalen University,Västerás,Sweden

6. RISE Research Institutes of Sweden,Sweden

Publisher

IEEE

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A New Hybrid Method for Text Feature Selection Through Combination of Relative Discrimination Criterion and Ant Colony Optimization;Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications;2022

2. MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05
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