New Evolutionary Selection Operators for Snake Optimizer

Ruba Khurma, Moutaz Alazab, J. Merelo, Pedro Castillo

2022

Abstract

Evolutionary algorithms (EA) adopt a Darwinian theory which is known as ”survival of the fittest”. Snake Optimizer (SO) is a recently developed swarm algorithm that inherits the selection principle in its structure. This is applied by selecting the fittest solutions and using them in deriving new solutions for the next iterations of the algorithm. However, this makes the algorithm biased towards the highly fitted solutions in the search space, which affects the diversity of the SO algorithm. This paper proposes new selection operators to be integrated with the SO algorithm and replaces the global best operator. Four SO variations are investigated by individually integrating four different selection operators: SO-roulettewheel, SO-tournament, SO-linearrank, and SO-exponentialrank. The performance of the proposed SO variations is evaluated. The experiments show that the selection operators have a great influence on the performance of the SO algorithm. Finally, a parameter analysis of the SO variations is investigated.

Paper Citation

in Harvard Style

Khurma R., Alazab M., Merelo J. and Castillo P. (2022). New Evolutionary Selection Operators for Snake Optimizer. In Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: ECTA; ISBN 978-989-758-611-8, SciTePress, pages 82-90. DOI: 10.5220/0011524300003332

in Bibtex Style

@conference{ecta22,
author={Ruba Khurma and Moutaz Alazab and J. Merelo and Pedro Castillo},
title={New Evolutionary Selection Operators for Snake Optimizer},
booktitle={Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: ECTA},
year={2022},
pages={82-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011524300003332},
isbn={978-989-758-611-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: ECTA
TI - New Evolutionary Selection Operators for Snake Optimizer
SN - 978-989-758-611-8
AU - Khurma R.
AU - Alazab M.
AU - Merelo J.
AU - Castillo P.
PY - 2022
SP - 82
EP - 90
DO - 10.5220/0011524300003332
PB - SciTePress