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Optimization for Engineering Problems

€172.30
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algorithm-based optimization techniques
arunanshu s
Category=TJ
debanjan maity
ecm process
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_tech-engineering
flower pollination algorithm
francis lee ribeiro
machining characteristics
multi-response optimization
samara silva soares
water quality index

Product details

  • ISBN 9781786304742
  • Weight: 386g
  • Dimensions: 155 x 239mm
  • Publication Date: 05 Jul 2019
  • Publisher: ISTE Ltd and John Wiley & Sons Inc
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have been developed for this purpose, and have rapidly diffused into other disciplines. As a result, our knowledge of all aspects of the field has grown even more profound.

In Optimization for Engineering Problems, eminent researchers in the field present the latest knowledge and techniques on the subject of optimization in engineering. Whereas the majority of work in this area focuses on other applications, this book applies advanced and algorithm-based optimization techniques specifically to problems in engineering.

About

Kaushik Kumar is Associate Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, Ranchi, India. His research interests include quality management systems, optimization, unconventional machining, CAD/CAM, rapid prototyping and composites.

J. Paulo Davim is Professor at the University of Aveiro, Portugal. His research interests include mechanical and industrial engineering.