Discussing the article: "Population optimization algorithms: Boids Algorithm"
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Check out the new article: Population optimization algorithms: Boids Algorithm.
The article considers Boids algorithm based on unique examples of animal flocking behavior. In turn, the Boids algorithm serves as the basis for the creation of the whole class of algorithms united under the name "Swarm Intelligence".
The original Boids algorithm had several goals and applications:
1. Creating realistic animations. The Boids algorithm allows for the creation of realistic animations of flocks of animals, which has served as an important direction for the development of computer graphics and animation.
2. Behavior modeling. Boids allows simulating complex collective behavior based on simple rules for each individual. This finds application in various fields such as animal behavior research, robotics, traffic management and others.
Boids algorithm has inspired the development of other algorithms, such as particle swarm optimization (PSO) and crowd behavior modeling algorithms.
The Boids algorithm remains a popular tool for modeling collective behavior and continues to be the subject of research and development in various fields of science and technology.
In the animation below, we can see the behavior of those same boids, which can gather into compact groups, fly apart, and also synchronize their speed relative to their neighbors. When recording the animation, the algorithm settings were changed on the fly, which made it possible to see the effect of the corresponding settings on the behavior of the boids.
Author: Andrey Dik