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Titlebook: Applications of Evolutionary Computation; 24th International C Pedro A. Castillo,Juan Luis Jiménez Laredo Conference proceedings 2021 Sprin

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期刊全稱Applications of Evolutionary Computation
期刊簡稱24th International C
影響因子2023Pedro A. Castillo,Juan Luis Jiménez Laredo
視頻videohttp://file.papertrans.cn/160/159387/159387.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Applications of Evolutionary Computation; 24th International C Pedro A. Castillo,Juan Luis Jiménez Laredo Conference proceedings 2021 Sprin
影響因子.This book constitutes the refereed proceedings of the 24th International Conference on Applications of Evolutionary Computation, EvoApplications 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events EuroGP, EvoCOP, and EvoMUSART..The 51 revised full papers presented in this book were carefully reviewed and selected from 78 submissions. The papers cover a wide spectrum of topics, ranging from applications of evolutionary computation; applications of deep bioinspired algorithms; soft computing applied to games; machine learning and AI in digital healthcare and personalized medicine; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; parallel and distributed systems; and applications of nature inspired computing for sustainability and development.?
Pindex Conference proceedings 2021
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978-3-030-72698-0Springer Nature Switzerland AG 2021
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Encyclopedia of Computer Graphics and Gamesy Algorithms. Real-valued genotypes are utilized in a broad range of contexts, from weights in Artificial Neural Networks to parameters in robot control systems. Shared between most uses of real-valued genomes is the need for limiting the range of individual parameters to allowable bounds. In this p
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Ambartsumian, Sergey (Aleksandr)ing its effectiveness through the experiments. In this study, the “duplex route” corresponds to the alternative route and it has the advantage of not requiring to modify the route network in the environmental changes. To generate the duplex routes, this study employs MOEA/D as the base optimization
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Adaptive Structures, Principles ofmolecules towards specific features and applications. In this work, we expand on the latent space navigation approach, where molecules are optimized by operating in their latent representation inside a deep auto-encoder, by introducing multi-objective evolutionary algorithms (MOEAs), and benchmarkin
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https://doi.org/10.1007/978-3-662-55771-6antity, and first product lead time. Using real-world inspection data, we demonstrate the ability to model product quality transformations during assembly jobs via genetic programming by considering the quality attributes of subparts. We investigate integrating quality transformation models into an
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