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Titlebook: Advances in Swarm Intelligence; 11th International C Ying Tan,Yuhui Shi,Milan Tuba Conference proceedings 2020 Springer Nature Switzerland

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11#
發(fā)表于 2025-3-23 12:54:01 | 只看該作者
https://doi.org/10.1007/978-3-7908-1873-4dinal movement of such type vehicle the dynamic model is obtained. The article discusses the issue of forecasting the time a physical swarm reaches a milestone and proposes a hypothesis on the form of the law of the distribution of time during which a swarm unit reaches a milestone. Obtaining this t
12#
發(fā)表于 2025-3-23 13:58:33 | 只看該作者
13#
發(fā)表于 2025-3-23 18:45:32 | 只看該作者
https://doi.org/10.1007/978-3-030-53956-6adaptive algorithms; artificial intelligence; communication systems; computer networks; computer science
14#
發(fā)表于 2025-3-24 01:05:59 | 只看該作者
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發(fā)表于 2025-3-24 04:00:48 | 只看該作者
16#
發(fā)表于 2025-3-24 08:35:57 | 只看該作者
Towards an Adaptive Calculus of Granules and real-world applications in the literature which utilize the swarm intelligence to the related domains of data analytics are reviewed. Based on the summary of the existing works, this paper also analyzes the opportunities and challenges in this field, which attempts to shed some light on designi
17#
發(fā)表于 2025-3-24 11:16:13 | 只看該作者
Studies in Fuzziness and Soft Computingared to single optimized model. Each sample is classified by Multi-Layer Perceptron (MLP) into some weather class and then model is trained for each weather class. Our method achieved slightly better results compared to single optimized model.
18#
發(fā)表于 2025-3-24 16:51:44 | 只看該作者
0302-9743 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing;
19#
發(fā)表于 2025-3-24 20:06:29 | 只看該作者
0302-9743 l foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications..978-3-030-53955-9978-3-030-53956-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
20#
發(fā)表于 2025-3-25 01:25:08 | 只看該作者
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