Capstone Particle Swarm Optimization Algorithm

Publié le: 14 mars 2017
sur la chaîne: Caleb R

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This is my capstone project NanoSim. NanoSim is a nanomedical simulation of the cardiovascular system that contains at max 2000 nanobots that seek and eliminate pathogens by utilizing the particle swarm optimization algorithm.
The Particle Swarm Algorithm (PSO), is a population based optimization method that finds the optimal solution by using a population of candidate solutions known as particles that navigate a search space. PSO can be applied to any optimization problem or any problem that can be presented as an optimization problem. Some examples of PSO’s implementations are optimizing neural network training, power flow optimization, real time robot path planning, gesture recognition, automatic target detection, and more.
In this video you are seeing the nanobot swarm finding and eliminating pathogens which are the red capsule like objects that spawn in the center and move around.

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