檢索結果 - (( collaborative evolution algorithm ) OR ( collaborative evolutionary algorithm ))
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- n/a 13
- deep learning 10
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 10
- artificial intelligence 6
- machine learning 6
- simulation 6
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 6
- Industry 4.0 5
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- 3D printing 3
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Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics
出版 2023主題: “...differential evolution algorithm...”
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Advances in Intelligent Data Analysis and Its Applications
出版 2024主題: “...differential evolution algorithm...”
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Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions
出版 2024主題: “...landslide evolution...”
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Charting the Intelligence Frontiers – Edge AI Systems Nexus
出版 2026“...From the complexities of advanced algorithms and the design of novel edge AI hardware accelerators to the architecture of next-generation communication networks, AI frameworks and software systems, the EEAI fosters a vibrant exchange of ideas that are following the future and actively defining it. ...”
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Charting the Intelligence Frontiers – Edge AI Systems Nexus
出版 2026“...From the complexities of advanced algorithms and the design of novel edge AI hardware accelerators to the architecture of next-generation communication networks, AI frameworks and software systems, the EEAI fosters a vibrant exchange of ideas that are following the future and actively defining it. ...”
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Evolutionary Computation, Metaheuristics, Nature-Inspired Algorithms, and Symmetry
出版 2026主題: “...Evolutionary algorithms...”
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Optimization Methods Applied to Power Systems: Volume 1
出版 2021主題: “...evolutionary algorithms...”
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Optimization Methods Applied to Power Systems: Volume 2
出版 2021主題: “...evolutionary algorithms...”
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Evolutionary Computation & Swarm Intelligence
出版 2021“...The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. ...”
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