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Data-Driven Evolutionary Modeling in Materials Technology

Name: Data-Driven Evolutionary Modeling in Materials Technology
Brand: Taylor & Francis Ltd
SKU: 39211063
Price: 234.86 EUR
Availability: InStock
Author: Chakraborti
ISBN: 9781032061733

Chakraborti

Nirupam (Metallurgical and Materials Engineering

Indian Institute of Technology

Kharagpur

India.)

Jezik

Angleščina

Knjiga Trda

Koda Libristo: 39211063

Založba Taylor & Francis Ltd, september 2022

This book presents the genetic and evolutionary, algorithms and strategies associated with pertinent... Celoten opis

Koda Libristo: 39211063

568 b

234.86 €

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This book presents the genetic and evolutionary, algorithms and strategies associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions including available professional and public domain codes and a gamut of recent applications.

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O knjigi

Polni naslov Data-Driven Evolutionary Modeling in Materials Technology

Avtor Chakraborti, Nirupam (Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, India.)

Jezik

Angleščina

Vezava Knjiga - Trda

Datum izida 2022

Število strani 304

EAN 9781032061733

ISBN 1032061731

Koda Libristo 39211063

Založba Taylor & Francis Ltd

Teža 748

Mere 178 x 254

Kategorije

Technology, Engineering, Agriculture > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > Metals technology / metallurgy

Mathematics & Science > Biology, life sciences > Life sciences: general issues

Technology, Engineering, Agriculture > Mechanical engineering & materials > Materials science

Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures

Mathematics & Science > Mathematics

Technology, Engineering, Agriculture > Environmental science, engineering & technology

Computing & Information Technology > Information technology: general issues

Computing & Information Technology > Computer science