Description: Further DetailsTitle: Meta-heuristic Optimization TechniquesCondition: NewSubtitle: Applications in EngineeringISBN-10: 3110716178EAN: 9783110716177ISBN: 9783110716177Publisher: De GruyterFormat: HardbackRelease Date: 01/31/2022Description: This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries. Language: EnglishCountry/Region of Manufacture: DEItem Height: 240mmItem Length: 170mmItem Weight: 472gContributor: Om Yadav (Edited by), Anuj Kumar (Edited by), Sangeeta Pant (Edited by), Mangey Ram (Edited by)Genre: Computing & InternetBook Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information SciencesTopic: Science Nature & Math, Technology & EngineeringAuthor: Om YadavRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Meta-heuristic Optimization Techniques
Title: Meta-heuristic Optimization Techniques
Subtitle: Applications in Engineering
ISBN-10: 3110716178
EAN: 9783110716177
ISBN: 9783110716177
Release Date: 01/31/2022
Release Year: 2022
Country/Region of Manufacture: DE
Item Height: 240mm
Contributor: Mangey Ram (Edited by)
Genre: Computing & Internet
Topic: Technology & Engineering
Number of Pages: 202 Pages
Language: English
Publication Name: Meta-Heuristic Optimization Techniques : Applications in Engineering
Publisher: DE Gruyter Gmbh, Walter
Subject: Engineering (General), Intelligence (Ai) & Semantics, Neural Networks, Computer Vision & Pattern Recognition
Publication Year: 2022
Item Weight: 16.6 Oz
Type: Textbook
Subject Area: Computers, Technology & Engineering
Author: Sangeeta Pant
Item Length: 9.4 in
Item Width: 6.7 in
Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences Ser.
Format: Hardcover