Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)

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A Systematic Study of Krill Herd and FOX Algorithms

Authors
Rebwar Khalid Hamad1, *, Tarik A. Rashid2
1Department of Information Systems Engineering, Erbil Technical Engineering College, Erbil Polytechnic University, Erbil, Iraq
2Computer Science and Engineering Department, University of Kurdistan Hewler, Erbil, Iraq
*Corresponding author. Email: Rebwar.khalid@epu.edu.iq
Corresponding Author
Rebwar Khalid Hamad
Available Online 30 January 2023.
DOI
10.2991/978-94-6463-110-4_13How to use a DOI?
Keywords
Metaheuristic; Krill Herd; FOX Algorithm; Optimization
Abstract

In 2012, Amir Hossein Gandomi and Amir Hossein Alavi presented the Krill Herd algorithm (KH), a revolutionary biologically inspired method for addressing optimization tasks. On the other hand, another new and powerful metaheuristic algorithm called FOX was proposed by Hardi Mohammed and Tarik Rashid in 2022, to address engineering difficulties, such as pressure vessel design and electrical power generating tasks, for example, economic load dispatch. The Dragonfly optimization algorithm, Particle Swarm Optimization algorithm, Fitness Dependent Optimizer algorithm, Grey Wolf Optimization algorithm, Whale optimization algorithm, Chimp optimization algorithm, Butterfly optimization algorithm, and Genetic Algorithm are also evaluated against the FOX algorithm. This paper demonstrates how the KH and Fox Algorithms are implemented, and it uses them as a model in a case study to minimize a fitness function. As a consequence, the KH and FOX algorithms successfully enhanced the original population and found the best option.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
Series
Advances in Computer Science Research
Publication Date
30 January 2023
ISBN
10.2991/978-94-6463-110-4_13
ISSN
2352-538X
DOI
10.2991/978-94-6463-110-4_13How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rebwar Khalid Hamad
AU  - Tarik A. Rashid
PY  - 2023
DA  - 2023/01/30
TI  - A Systematic Study of Krill Herd and FOX Algorithms
BT  - Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
PB  - Atlantis Press
SP  - 168
EP  - 186
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-110-4_13
DO  - 10.2991/978-94-6463-110-4_13
ID  - Hamad2023
ER  -