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A particle swarm searching for the global minimum of a function. In computational science, particle swarm optimization (PSO) [1] is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
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Terms include free port (porto Franco), free zone (zona franca), bonded area (US: foreign-trade zone), free economic zone, free-trade zone, export processing zone and maquiladora. Most commonly a free port is a special customs area or small customs territory with generally less strict customs regulations (or no customs duties or controls for ...
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Multi-swarm optimization is a variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm. The general approach in multi-swarm optimization is that each sub-swarm focuses on a specific region while a specific diversification method decides where and when to launch the sub-swarms.
In the shocking absence of a federal explanation for the phenomenon local politicians, police, and drone analysts have all come up with their own theories.
Own work. Derived from 911 - FEMA - Areas debris impact (graphic).png by Therese McAllister, Jonathan Barnett, John Gross, Ronald Hamburger, Jon Magnuson of the Federal Emergency Management Agency (FEMA) of the United States Department of Homeland Security. As a work of the United States government, it was released to the public domain.
Pheromone-based communication is one of the most effective ways of communication which is widely observed in nature. Pheromone is used by social insects such as bees, ants and termites; both for inter-agent and agent-swarm communications. Due to its feasibility, artificial pheromones have been adopted in multi-robot and swarm robotic systems.