Author(s):
1. Israr Ahmed:
Shah Abdul Latif University Khairpur, Pakistan
2. Mansoor Ali Gilal:
Shah Abdul Latif University Khairpur, Pakistan
3. 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.
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
Keywords:
mathematical modeling
,
computational simulation
,
Selfpropelled particles
,
collective motion
,
noise optimization
References:
References are not available for this document.
Citations
Citations are not available for this document.