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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: Zehnter Tag: 26 August,heir fellow foragers through a ”dance” inside the bee hive (on the ”dance floor”). In this paper we present a novel routing algorithm, ., which has been inspired by the communicative and evaluative methods and procedures of honey bees. In this algorithm, . travel through network regions called .. On
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Erratum to: Geognostische Skizze,ation algorithm to the next. Typically, in ACO all decisions that lead an ant to a good solution are considered as of equal importance and receive the same amount of pheromone from this ant (assuming the ant is allowed to update the pheromone information). In this paper we show that the decisions of
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Erratum to: Zehnter Tag: 26 August, heavy objects of different shapes and sizes. The s-bots are capable of establishing physical connections with each other and with the object (called .). We want the s-bots to self-assemble into structures which pull or push the prey towards a target location..The s-bots are controlled by neural net
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Eine kleine Geschichte der Biotechnologieommunication, which can be roughly classified in three classes: indirect (.) communication, direct interaction and direct communication. The use of stigmergic communication is predominant in social insects (e.g., the pheromone trails in ants), but also direct interactions (e.g., antennation in ants)
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,Die Begründung der Biochemie: Buchner,sensors are range-limited and they are unable to measure distances. Rather, they can only acquire the directions to their neighbors. We propose a simple algorithm, which makes them gather in a small region or a point. We discuss three variants of the problem: A continuous-space discrete-time problem
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,Der Röntgen ist wohl verrückt geworden,orks by characteristics such as deeply embedded routers, highly dynamic networks, resource-constrained nodes, and unreliable and asymmetric links. Ant routing has shown good performance for communication networks; in this paper, we show why the existing ant-routing algorithms do not work well for se
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,Ein merkwürdiges Prinzip: Unordnung,taken into account in these models. Here, we develop and test a three-dimensional agent-based model of this process that places realistic constraints on the diffusion of pheromones, the movement of termites, and the integrity of the architecture that they construct. The following scenarios are model
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