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Titlebook: Swarm Intelligence; 11th International C Marco Dorigo,Mauro Birattari,Vito Trianni Conference proceedings 2018 Springer Nature Switzerland

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發(fā)表于 2025-3-28 15:24:47 | 只看該作者
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發(fā)表于 2025-3-28 21:08:21 | 只看該作者
Morphogenesis as a Collective Decision of Agents Competing for Limited Resource: A Plants Approachmade out of braided modules. The effects of different parameters of the algorithm on the growth behavior of the structure are discussed analytically and similar effects are demonstrated in the physical system.
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發(fā)表于 2025-3-29 01:40:03 | 只看該作者
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發(fā)表于 2025-3-29 05:26:22 | 只看該作者
Simulating Kilobots Within ARGoS: Models and Experimental Validations different languages. Second, it is highly configurable to match the real robot behaviour. Third, it is fast and allows running simulations with several hundreds of Kilobots in a fraction of real time. We present the design choices that drove our work and report on experiments with physical robots performed to validate simulated behaviours.
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發(fā)表于 2025-3-29 09:33:17 | 只看該作者
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發(fā)表于 2025-3-29 11:57:16 | 只看該作者
Conference proceedings 2018he 24 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 69 submissions. They are devoted to the field of swarm intelligence as a whole, without any bias towards specific research directions..
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發(fā)表于 2025-3-29 17:23:56 | 只看該作者
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發(fā)表于 2025-3-29 22:28:31 | 只看該作者
https://doi.org/10.1007/978-3-030-00533-7agents; artificial intelligence; combinatorial optimization; communication; discrete optimization; evolut
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發(fā)表于 2025-3-30 02:53:32 | 只看該作者
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發(fā)表于 2025-3-30 06:57:04 | 只看該作者
Swarm Intelligence978-3-030-00533-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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