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Particle swarm optimization (PSO) is a robust and popular stochastic population-based global optimization method that simulates social behavior among independent agents (particles). PSO is increasingly used to solve difficult high-dimensional and dynamic problems, where the global optima change over time. To better address the challenges inherent in these problems, interactive visualization is employed...
Particle swarm optimization (PSO) is a robust and popular stochastic population-based global optimization method that simulates social behavior among independent agents (particles). PSO is increasingly used to solve difficult high-dimensional and dynamic problems, where the global optima change over time. To better address the challenges inherent in these problems, interactive visualization is employed...
A visual traffic simulation framework has been developed for analyzing gas consumption and traffic flow, and for optimizing traffic lights. The city of North Bay, Canada, is targeted in this study, but the basic framework can be used and the same procedure followed to analyze traffic flow and gas usage in other cities with similar layouts. The simulation is in the form of an agent-based serious game...
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