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Insect Societies and Manufacturing Vincent A. Cicirello and Stephen F. Smith The Robotics Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213
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Document Date: 2005-05-21 21:47:39

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University of Leeds / Ant trail / Stephen F. Smith The Robotics Institute Carnegie Mellon University / Cooperative trail / U.S. Air Force Rome Research Laboratory / CMU Robotics Institute / /

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ant algorithm / software agents / problem solving systems / telecommunications networks / biological systems / Manufacturing systems / resource transportation / communications networks / defined manufacturing / presents applications / manufacturing processes / food / local search procedures / manufacturing applications / food source / improved ant system algorithm / manufacturing / natural multi-agent systems / manufacturing problems / multi-agent manufacturing systems / /

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Harvard University / MIT / U.S. Government / CMU Robotics Institute / University of Leeds / School of Computer Studies / Swarm Intelligence / Congress / Department of Defense Advanced Research Projects Agency / Carnegie Mellon University / Air Force / Oxford University / U.S. Air Force Rome Research Laboratory / Royal Society / of Defense Advanced Research Projects Agency / /

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Scientific American / IEEE Transactions on Evolutionary Computation / Journal of Artificial Intelligence Research / Proceedings of the Royal Society / Journal of Theoretical Biology / /

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ACO-based algorithm / ant-based algorithms / circuit-switched / pheromones / ACO algorithms / ACO-inspired algorithm / load balancing / artificial intelligence / improved ant system algorithm / ant algorithm / Simulation / CAD / /

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