Intelligent Computational Optimization in Engineering Techniques and Applications /

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 procedu...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Köppen, Mario (Επιμελητής έκδοσης), Schaefer, Gerald (Επιμελητής έκδοσης), Abraham, Ajith (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Σειρά:Studies in Computational Intelligence, 366
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Intelligent Computational Optimization in Engineering  |h [electronic resource] :  |b Techniques and Applications /  |c edited by Mario Köppen, Gerald Schaefer, Ajith Abraham. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2011. 
300 |a XII, 400 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 366 
505 0 |a Part I Frameworks -- Part II Algorithm Integration -- Part III Applications. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 1 4 |a Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Köppen, Mario.  |e editor. 
700 1 |a Schaefer, Gerald.  |e editor. 
700 1 |a Abraham, Ajith.  |e editor. 
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776 0 8 |i Printed edition:  |z 9783642217043 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 366 
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950 |a Engineering (Springer-11647)