Comparison of Ant Colony Optimization, Genetic Optimization, and Hamming Distance Algorithms for Vector Reduction

Kumar K K, Suhas Shirol, Kruthik Gupta B, Ashwini M Pattennavar, Spoorti Patil, Saroja V S, Vijay H M, Rajeshwari M

2025

Abstract

In this paper, we present the Ant colony algorithm, Genetic algorithm, and Hamming Distance algorithm for vector reduction and reduced power leakage using algorithms. The main motivation is to compare Ant Colony Optimization (ACO), Genetic Optimization (GO), and Hamming Distance Algorithms for vector reduction to identify the most effective method for optimizing vector representation in various computational applications. This step aims to reduce the number of vectors and reduce power leakage. This paper proposes a new approach to the Ant colony algorithm based on switching activity, Hamming distance based on K-means clustering, and a Genetic algorithm based on fitness for vector reduction. In the comparative analysis of power leakage between algorithms, the Ant Colony algorithm exhibited the lowest power leakage of 0.17%. Therefore the Ant Colony algorithm is the most efficient in terms of power consumption

Paper Citation

in Harvard Style

K K K., Shirol S., Gupta B K., M Pattennavar A., Patil S., V S S., H M V. and M R. (2025). Comparison of Ant Colony Optimization, Genetic Optimization, and Hamming Distance Algorithms for Vector Reduction. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 608-614. DOI: 10.5220/0013582500004664

in Bibtex Style

@conference{incoft25,
author={Kumar K K and Suhas Shirol and Kruthik Gupta B and Ashwini M Pattennavar and Spoorti Patil and Saroja V S and Vijay H M and Rajeshwari M},
title={Comparison of Ant Colony Optimization, Genetic Optimization, and Hamming Distance Algorithms for Vector Reduction},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={608-614},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013582500004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Comparison of Ant Colony Optimization, Genetic Optimization, and Hamming Distance Algorithms for Vector Reduction
SN - 978-989-758-763-4
AU - K K K.
AU - Shirol S.
AU - Gupta B K.
AU - M Pattennavar A.
AU - Patil S.
AU - V S S.
AU - H M V.
AU - M R.
PY - 2025
SP - 608
EP - 614
DO - 10.5220/0013582500004664
PB - SciTePress