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Data-driven evolutionary optimization: integrating evolutionary computation, machine learning and data science

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Data-driven optimization forms the central focus of this textbook. Allying the population-based metaheuristics of evolutionary computing with the use of surrogate models and machine learning algorithms, the authors demonstrate a formidable array of approaches to address a range of data-driven optimization challenges.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

004 YAO d

Penerbit

Switzerland : Springer Nature Switzerland., 2021

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

9783030746407

Klasifikasi

004

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Ed. 1

Subjek

Fakultas Teknik
ebook
Data Science

Info Detail Spesifik

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Pernyataan Tanggungjawab

Yaochu Jin

Versi lain/terkait

Lampiran Berkas

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