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

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Pan, Jeng-Shyang (Editor), Pan, Zhigeng (Editor), Hu, Pei (Editor), Lin, Jerry Chun-Wei (Editor)
Summary:XV, 507 p. 201 illus., 159 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Lecture Notes in Electrical Engineering, 1114
Subjects:
Online Access:https://doi.org/10.1007/978-981-99-9412-0
Format: Electronic Book

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245 1 0 |a Genetic and Evolutionary Computing  |h [electronic resource] :  |b Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan /  |c edited by Jeng-Shyang Pan, Zhigeng Pan, Pei Hu, Jerry Chun-Wei Lin. 
250 |a 1st ed. 2024. 
264 1 |a Singapore :  |b Springer Nature Singapore :  |b Imprint: Springer,  |c 2024. 
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490 1 |a Lecture Notes in Electrical Engineering,  |x 1876-1119 ;  |v 1114 
505 0 |a 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. 
520 |a 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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650 0 |a Mathematical optimization. 
650 0 |a Computational complexity. 
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650 2 4 |a Computational Complexity. 
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