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  • Genetic and Evolutionary Computing: Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan

    Genetic and Evolutionary Computing by Pan, Jeng-Shyang; Pan, Zhigeng; Hu, Pei; Lin, Jerry Chun-Wei;

    Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan

    Series: Lecture Notes in Electrical Engineering; 1114;

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      • Publisher's listprice EUR 235.39
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        97 628 Ft (92 979 Ft + 5% VAT)
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    Product details:

    • Edition number 1st ed. 2024
    • Publisher Springer Nature Singapore
    • Date of Publication 25 January 2024
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819994113
    • Binding Hardback
    • No. of pages507 pages
    • Size 235x155 mm
    • Weight 945 g
    • Language English
    • Illustrations XV, 507 p. 201 illus., 159 illus. in color. Illustrations, black & white
    • 532

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    Long description:

    This second volume of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6-8, 2023 in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including technologies for next-generation network environments, recent progress in computational electromagnetic dynamics, future cyber security, privacy and forensics for advanced systems, data mining techniques and its applications, optimization models in deep learning and machine learning. It will help readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.

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    Table of Contents:

    Technologies for Next-Generation Network Environments.- Recent Progress in Computational Electromagnetic Dynamics.- Future Cyber Security, Privacy and Forensics for Advanced systems.- Data Mining Techniques and its Applications.- Optimization Models in Deep Learning/Machine Learning.

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