Intelligent Computational Optimization in Engineering: Techniques & Applications da Koeppen, Mario (Editor)/ Schaefer, Gerald (Editor)/ Abraham, Ajith (Editor): Brand New Paperback (2013)

Riguardo questo articolo

2011 edition. 412 pages. 9.25x6.10x1.00 inches. In Stock.

Codice articolo x-3642269400

Contatta il venditore

Segnala questo articolo

Dati bibliografici

Titolo: Intelligent Computational Optimization in Engineering: Techniques & Applications
Editore: Springer Verlag
Data di pubblicazione: 2013
Lingua: Inglese
ISBN 10: 3642269400
ISBN 13: 9783642269400
Rilegatura: Paperback
Condizione: Brand New

Descrizione articolo

Riassunto

We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches.

This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry.

Dalla quarta di copertina

We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches.

This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.