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UNINA9910983071203321 |
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Autore |
Pan Jeng-Shyang |
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Titolo |
Genetic and Evolutionary Computing : Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computing, August 28-30, 2024, Miyazaki, Japan (Volume 2) / / edited by Jeng-Shyang Pan, Thi Thi Zin, Tien-Wen Sung, Jerry Chun-Wei Lin |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (587 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1322 |
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Altri autori (Persone) |
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ZinThi Thi |
SungTien-Wen |
LinJerry Chun-Wei |
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Disciplina |
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Soggetti |
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Computational intelligence |
Mathematical optimization |
Computational complexity |
Computational Intelligence |
Optimization |
Computational Complexity |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Swarm Intelligence and Its Applications -- Operational Technologies and Networked Multimedia Applications -- Wearable Computing and Intelligent Data Hiding -- Image Processing and Intelligent Applications -- Intelligent Multimedia Tools and Applications -- 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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Sommario/riassunto |
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This book contains accepted papers presented at ICGEC 2024, the 16th International Conference on Genetic and Evolutionary Computing, held from August 28-29, 2024 in Miyazaki, Japan. The conference is |
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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 digital transformation, machine learning and data analysis, meta-heuristic optimization algorithms, computer vision, and artificial intelligence of things (AIoT), which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs. |
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