algorithmics project
A free particle demo — play it in your browser, no install. HTML5 arcade game showing Particle Swarm Optimization.
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Open the live demo Source on GitHubFrom the README
HTML5 arcade game showing Particle Swarm Optimization algorithm in practice. Built with Phaser for MTAT.03.238 Advanced Algorithmics course project at University of Tartu.
PSO is a population based stochastic optimization technique which simulates the social behavior of species in nature. A good example is a flock of birds or school of fish. PSO is initialized with a group of random particles (solutions) and then searches for optima by updating generations. All particles try to optimize fitness function. They explore solution space moving to the current known optimum.
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