Optimization for Engineering Problems

Kaushik Kumar (Ed.)

ISBN 10: 1786304740 / ISBN 13: 9781786304742

Edité par ISTE Ltd and John Wiley & Sons Inc, 2019

A propos de cet article

2019. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

N° de réf. du vendeur V9781786304742

Détails bibliographiques

• Titre: Optimization for Engineering Problems
• Éditeur: ISTE Ltd and John Wiley & Sons Inc
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 1786304740
• ISBN à 13 chiffres: 9781786304742
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.