HMPA: an innovative hybrid multi-population algorithm based on artificial ecosystem-based and Harris Hawks optimization algorithms for engineering problems-Reference-Cited by-同舟云学术

HMPA: an innovative hybrid multi-population algorithm based on artificial ecosystem-based and Harris Hawks optimization algorithms for engineering problems

Published:2020-07-28 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Barshandeh Saeid^ORCID,Piri Farhad,Sangani Simin Rasooli

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modelling and Simulation,Software

Link

https://link.springer.com/content/pdf/10.1007/s00366-020-01120-w.pdf

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3. Kaur A, Dhiman G (2019) A review on search-based tools and techniques to identify bad code smells in object-oriented systems. In: Yadav N, Yadav A, Bansal J, Deep K, Kim J (eds) Harmony search and nature inspired optimization algorithms, vol 741. Springer, Singapore. https://doi.org/10.1007/978-981-13-0761-4_86

4. Moghdani R, Abd Elaziz M, Mohammadi D et al (2020) An improved volleyball premier league algorithm based on sine cosine algorithm for global optimization problem. Eng Comput. https://doi.org/10.1007/s00366-020-00962-8

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