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Titlebook: Ant Colony Optimization and Swarm Intelligence; 4th International Wo Marco Dorigo,Mauro Birattari,Thomas Stützle Conference proceedings 200

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Erratum to: Zoologische Beobachtungen,a first implementation, and provides some preliminary results obtained on well-known benchmark problems. The proposed method is compared to other ant, as well as non-ant methods for continuous optimization.
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An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria Tc. In this contribution, the existing algorithms of this kind are reviewed and experimentally tested in several instances of the bi-objective traveling salesman problem, comparing their performance with that of two well-known multi-objective genetic algorithms.
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Improvements on Ant Routing for Sensor Networks routing has shown good performance for communication networks; in this paper, we show why the existing ant-routing algorithms do not work well for sensor networks. Three new ant-routing algorithms are proposed and performance evaluations for these algorithms on a real application are conducted on a routing simulator for sensor networks.
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Gathering Multiple Robotic A(ge)nts with Limited Sensing Capabilities, a continuous-time limit of that problem, and a discrete-space discrete-time analog. Using both analysis and simulations, we show that, interestingly, the system’s global behavior in the continuous-time limit is fundamentally different from that of the discrete-time case, due to hidden “Zenoness” in it.
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Dritter und vierter Tag: 19. und 20. August,lls computational capabilities obtaining a more efficient usage of their computational resources in a so important task. In this paper a preliminary VLSI implementation and theoretical results are presented to show the feasibility of this approach.
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