NEO 2015 : results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico

This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today's world that requires researchers and prac...

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Bibliographic Details
Corporate Author: Numerical and Evolutionary Optimization Workshop Tijuana, Mexico)
Other Authors: Schütze, Oliver (Computer scientist), (Editor), Trujillo, Leonardo, (Editor), Legrand, Pierrick, (Editor), Maldonado, Yazmin, (Editor)
Format: eBook
Language: English
Published: Switzerland : Springer, [2016]
Series: Studies in computational intelligence ; v. 663.
Subjects:
Mathematical optimization > Congresses.
Evolution equations > Congresses.
elektronické knihy
electronic books
ISBN: 9783319440033
9783319440026
Physical Description: 1 online resource (xvi, 444 pages) : illustrations (some color)

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111 2 |a Numerical and Evolutionary Optimization Workshop  |d (2015 :  |c Tijuana, Mexico) 
245 1 0 |a NEO 2015 :  |b results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /  |c Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmin Maldonado, editors. 
264 1 |a Switzerland :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (xvi, 444 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 663 
500 |a Includes author index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today's world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together people from these and related fields to discuss, compare and merge their complimentary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. Through this effort, we believe that the NEO can promote the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect us all such as health care, smart cities, big data, among many others. The extended papers the NEO 2015 that comprise this book make a contribution to this goal. 
505 0 |a Part I Genetic Programming -- Part II Combinatorial Optimization -- Part IV Machine Learning and Real World Applications. 
504 |a Includes bibliographic references and index. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Mathematical optimization  |v Congresses. 
650 0 |a Evolution equations  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Schütze, Oliver  |c (Computer scientist),  |e editor. 
700 1 |a Trujillo, Leonardo,  |e editor. 
700 1 |a Legrand, Pierrick,  |e editor. 
700 1 |a Maldonado, Yazmin,  |e editor. 
776 |z 3-319-44002-0 
830 0 |a Studies in computational intelligence ;  |v v. 663.  |x 1860-949X 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-44003-3  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99358  |d 99358 

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