Optimizing Collective Motion in Self-Propelled Particle Systems: A Mathematical and Computational Study of Noise-Induced Order

Israr Ahmed; Mansoor Ali Gilal; Abdul Majid Indhar

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Optimizing Collective Motion in Self-Propelled Particle Systems: A Mathematical and Computational Study of Noise-Induced Order

Author(s)

Israr Ahmed Shah Abdul Latif University Khairpur, Pakistan

Mansoor Ali Gilal Shah Abdul Latif University Khairpur, Pakistan

Abdul Majid Indhar Mehran University of Engineering and Technology, SZAB Campus,Khairpur Mirs,Pakistan

Abstract

The emergence of collective motion in systems of self- propelled particles is a fascinating phenomenon observed in various biological and artificial contexts.This study investigates the impact of noise on the collective behavior of self propelled particles through a combination of mathematical modeling and computational simulations. Our research reveals a striking result: the existence of an optimal noise level that maximizes collective motion. We demonstrate that this optimal noise intensity strikes a balance between disrupting local alignment and facilitating global coordination, leading to enhanced collective behavior.Our findings provide new insights into the role of noise in shaping the emergent properties of complex systems and have implications for understanding biological systems and designing artificial systems that harness collective motion.

Publication Details

Page(s) 148-148

DOI DOI not available

Published Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025

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Keywords

mathematical modeling, computational simulation, Self-propelled particles, collective motion, noise optimization

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