Boids

Boids: In 1986 I made a computer model of coordinated animal motion such as bird flocks and fish schools. It was based on three dimensional computational geometry of the sort normally used in computer animation or computer aided design. I called the generic simulated flocking creatures boids. The basic flocking model consists of three simple steering behaviors which describe how an individual boid maneuvers based on the positions and velocities its nearby flockmates: ..


References in zbMATH (referenced in 349 articles )

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  1. Cheng, Jianfei; Ru, Lining; Wang, Xiao; Liu, Yicheng: Collision-avoidance, aggregation and velocity-matching in a Cucker-Smale-type model (2022)
  2. De Luca, L.; Ninno, A.; Ponsiglione, M.: Vectorial crystallization problems and collective behavior (2022)
  3. Lu, Xinbiao; Zhang, Chi; Qin, Buzhi: An improved Vicsek model of swarm based on remote neighbors strategy (2022)
  4. Mudaliar, Rajnesh K.; Zvezdin, Andrei V.; Bratt, Geoffrey S.; Schaerf, Timothy M.: Systematic analysis of emergent collective motion produced by a 3D hybrid zonal model (2022)
  5. Zhao, Rundong; Liu, Qiming; Zhang, Huazong: Flocking and collision avoidance problem of a singular Cucker-Smale model with external perturbations (2022)
  6. Ahn, Hyunjin; Ha, Seung-Yeal; Kang, Myeongju; Shim, Woojoo: Emergent behaviors of relativistic flocks on Riemannian manifolds (2021)
  7. Ahn, Hyunjin; Ha, Seung-Yeal; Shim, Woojoo: Emergent behaviors of the discrete thermodynamic Cucker-Smale model on complete Riemannian manifolds (2021)
  8. Almeida, Ricardo; Kamocki, Rafał; Malinowska, Agnieszka B.; Odzijewicz, Tatiana: Optimal leader-following consensus of fractional opinion formation models (2021)
  9. Ávila-Martínez, Eber Jafet; Barajas-Ramírez, Juan Gonzalo: Flocking motion in swarms with limited sensing radius and heterogeneous input constraints (2021)
  10. Binh, Nguyen Thanh; Dai, Pham Duc; Quang, Nguyen Hong; Ty, Nguyen Trung; Hung, Nguyen Manh: Flocking control for two-dimensional multiple agents with limited communication ranges (2021)
  11. Borra, Francesco; Cencini, Massimo; Celani, Antonio: Optimal collision avoidance in swarms of active Brownian particles (2021)
  12. Chen, Fei; Ren, Wei: Multi-agent control: a graph-theoretic perspective (2021)
  13. Choi, So Eun; Jang, Hyun Jin; Lee, Kyungsub; Zheng, Harry: Optimal market-making strategies under synchronised order arrivals with deep neural networks (2021)
  14. Clusella, Pau; Pastor-Satorras, Romualdo: Phase transitions on a class of generalized vicsek-like models of collective motion (2021)
  15. Dong, Jiu-Gang: Avoiding collisions and pattern formation in flocks (2021)
  16. Dong, Jiu-Gang; Ha, Seung-Yeal; Kim, Doheon: Emergence of mono-cluster flocking in the thermomechanical Cucker-Smale model under switching topologies (2021)
  17. Efremov, A. Yu.; Legovich, Yu. S.: Flocking control of small unmanned aerial vehicles in obstacle field (2021)
  18. Fedele, G.; D’Alfonso, L.: A coordinates mixing matrix-based model for swarm formation (2021)
  19. Freitas, Vander L. S.; Yanchuk, Serhiy; Zaks, Michael; Macau, Elbert E. N.: Synchronization-based symmetric circular formations of mobile agents and the generation of chaotic trajectories (2021)
  20. Gao, Jian; Gu, Changgui; Yang, Huijie; Wang, Man: A flight formation mechanism: the weight of repulsive force (2021)

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