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Static and dynamic neighbor interaction of flocking model in Newtonian approach
Irfanudin A.D.a, Algifari D.R.a, Viridi S.b, Perkasa Y.S.a
a Nuclear Physics and Computation Research Division, Department of Physics, Universitas Islam Negeri Sunan, Gunung Djati Bandung, Indonesia
b Nuclear Physics and Biophysics Research Division, Department of Physics, Institut Teknologi, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 Author(s).There is some collective motion that does by animal groups, such as bird flocks, fish school, insect swarms. In nature, Structural order showed movement and direction every single individual makes them safer and more efficient. The desire to flock is dependent on the nearest-neighbor distance, even though there are other parameters that can affect flocking. To get more insight into this system, we manipulate interaction with each particle in two situations. In a static condition, we set each particle to interact with their group only, which means the particle will not respond to other entities that not selected. In a dynamic situation, we set each particle can interact with a predator as long as the neighbor is in the orientation and attraction zones of the particle. The Newtonian approach used to handle physical parameters such as position, velocity, and, acceleration of the particles, then these physical parameters are calculated and updated by the Euler integration. Some patterns appear in our simulation, such as line formation and dynamic parallel group.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/1.5132664[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]