Flocking Sim Optimization Update Loop Change Luke Savage This project implements a flocking behavior simulation system inspired by craig reynolds' seminal "boids" algorithm (1987) and his steering behaviors paper. the system simulates realistic group movements seen in nature such as bird flocks, fish schools, and herds of land animals. There are a ton of ways to extend this simple model to better simulate the behavior of different animals. an example i showed in the video is to limit the "visual range" of each boid. real animals can't see the entire flock; they can only see the other animals around them.
Flocking Sim Optimization Update Loop Change Luke Savage At the end of the run () function i added a couple lines of code to set looping to false and wait for the update thread to finish its current cycle before cleaning up. The get meta table functions allow you to dynamically change the variables of the module without editing any code. so those are the only variables you should be concerned with, considering their’s a read and write function for the variables i would further consider the concerns not urgent. In this simulation, quadtree optimization is enabled by default and can be disabled by checking off the optimize checkbox. the quadtree structure and its computation can be dynamically visualized by checking the "showqtree" checkbox. When all of the boids follow these simple rules, the flock produces gorgeously organic looking emergent patterns, as shown in the video below. you can compare the behavior shown in the simulation below to videos of actual murmurations of starlings (like this one). these rules are also extendable.
Flocking Sim Progress Luke Savage In this simulation, quadtree optimization is enabled by default and can be disabled by checking off the optimize checkbox. the quadtree structure and its computation can be dynamically visualized by checking the "showqtree" checkbox. When all of the boids follow these simple rules, the flock produces gorgeously organic looking emergent patterns, as shown in the video below. you can compare the behavior shown in the simulation below to videos of actual murmurations of starlings (like this one). these rules are also extendable. Employing bin lattice spatial subdivision for optimisation. rust compiled to webassembly for simulation | html, javascript canvas. Boid movement particle mode ? turn off all flocking forces, making boids move like particles affected only by noise, drag, and human input. This method is already fairly well optimized, as caching variables once for multiple uses isn’t significant here. however, making sure that checks are efficient is important. This project implemented a flocking simulation based on the reynolds boids algorithm with two levels of optimization: scattered uniform grid, and coherent uniform grid optimization.
Flocking Sim Progress Luke Savage Employing bin lattice spatial subdivision for optimisation. rust compiled to webassembly for simulation | html, javascript canvas. Boid movement particle mode ? turn off all flocking forces, making boids move like particles affected only by noise, drag, and human input. This method is already fairly well optimized, as caching variables once for multiple uses isn’t significant here. however, making sure that checks are efficient is important. This project implemented a flocking simulation based on the reynolds boids algorithm with two levels of optimization: scattered uniform grid, and coherent uniform grid optimization.
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