Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan Pan, Jeng-Shyang. editor. edt http://id.loc.gov/vocabulary/relators/edt Pan, Zhigeng. editor. edt http://id.loc.gov/vocabulary/relators/edt Hu, Pei. editor. edt http://id.loc.gov/vocabulary/relators/edt Lin, Jerry Chun-Wei. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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access XV, 507 p. 201 illus., 159 illus. in color. online resource. 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. 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. edited by Jeng-Shyang Pan, Zhigeng Pan, Pei Hu, Jerry Chun-Wei Lin. Computational intelligence Mathematical optimization Computational complexity Computational Intelligence Optimization Computational Complexity Q342 9789819994120 https://doi.org/10.1007/978-981-99-9412-0 https://doi.org/10.1007/978-981-99-9412-0 240124 20251030112644.0 978-981-99-9412-0