NICK WAGGONER

Particle Swarm Optimization algorithm experiment with moving/degrading target was initially designed to implement Ant Colony Optimization, but has been refactored for particle swarm with targets decaying on convergence (inversely proportional to swarm velocity). Decay rate defined as carry_capacity of particles defines the number of particles required to be in proximity to target for it to decay self.particles_for_decay = self.NumParticles * (1 - self.w) if 0 < w <= 1 else self.NumParticles... Mapbox GIS visualization using historic delivery data to inform delivery zone optimization through speed of service