|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-642-30671-6 |
003 |
DE-He213 |
005 |
20220118222635.0 |
007 |
cr nn 008mamaa |
008 |
120731s2013 gw | s |||| 0|eng d |
020 |
|
|
|a 9783642306716
|9 978-3-642-30671-6
|
024 |
7 |
|
|a 10.1007/978-3-642-30671-6
|2 doi
|
050 |
|
4 |
|a Q342
|
072 |
|
7 |
|a UYQ
|2 bicssc
|
072 |
|
7 |
|a TEC009000
|2 bisacsh
|
072 |
|
7 |
|a UYQ
|2 thema
|
082 |
0 |
4 |
|a 006.3
|2 23
|
245 |
1 |
0 |
|a Hybrid Metaheuristics
|h [electronic resource] /
|c edited by El-ghazali Talbi.
|
250 |
|
|
|a 1st ed. 2013.
|
264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
|
300 |
|
|
|a XXVI, 458 p.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 434
|
505 |
0 |
|
|a Part I Hybrid metaheuristics for mono and multi-objective optimization, and optimization under uncertainty -- Part II Combining metaheuristics with (complementary) metaheuristics -- Part III Combining metaheuristics with exact methods from mathematical programming approaches -- Part IV Combining metaheuristics with constraint programming approaches -- Part V Combining metaheuristics with machine learning and data mining techniques.
|
520 |
|
|
|a The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.
|
650 |
|
0 |
|a Computational intelligence.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
1 |
4 |
|a Computational Intelligence.
|
650 |
2 |
4 |
|a Artificial Intelligence.
|
700 |
1 |
|
|a Talbi, El-ghazali.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642306723
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642429057
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642306709
|
830 |
|
0 |
|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 434
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-642-30671-6
|z Texto Completo
|
912 |
|
|
|a ZDB-2-ENG
|
912 |
|
|
|a ZDB-2-SXE
|
950 |
|
|
|a Engineering (SpringerNature-11647)
|
950 |
|
|
|a Engineering (R0) (SpringerNature-43712)
|