PirateBay Download | jin y data driven evolutionary optimization data science 2021

jin y data driven evolutionary optimization data science 2021

Type:: E-books
Files:: 1
Size:: 13.6 MB
Uploaded On:: Aug. 29, 2021, 7 a.m.
Added By:: andryold1
Seeders:: 2
Leechers:: 0
Info Hash:: 779FD5F0178E8B2FE4C67B4E4274405AA892C550

Textbook in PDF format Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included

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Jin Y. Data-Driven Evolutionary Optimization...Data Science 2021.pdf 13.6 MB

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jin y data driven evolutionary optimization data science 2021

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