|
|
|
|
| LEADER |
00000nam a22000005i 4500 |
| 001 |
b3316902 |
| 003 |
MWH |
| 005 |
20191022032852.0 |
| 007 |
cr nn 008mamaa |
| 008 |
160809s2017 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783319429786
|
| 024 |
7 |
|
|a 10.1007/978-3-319-42978-6
|2 doi
|
| 035 |
|
|
|a (DE-He213)978-3-319-42978-6
|
| 050 |
|
4 |
|a E-Book
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a TEC009000
|2 bisacsh
|
| 072 |
|
7 |
|a UYQ
|2 thema
|
| 245 |
1 |
0 |
|a Recent Advances in Evolutionary Multi-objective Optimization
|h [electronic resource] /
|c edited by Slim Bechikh, Rituparna Datta, Abhishek Gupta.
|
| 250 |
|
|
|a 1st ed. 2017.
|
| 264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
|
| 300 |
|
|
|a XII, 179 p. 42 illus., 27 illus. in color.
|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 Adaptation, Learning, and Optimization,
|x 1867-4534 ;
|v 20
|
| 490 |
1 |
|
|a Springer eBook Collection
|
| 505 |
0 |
|
|a Multi-objective Optimization: Classical and Evolutionary Approaches -- Dynamic Multi-objective Optimization using Evolutionary Algorithms: A Survey -- Evolutionary Bilevel Optimization: An Introduction and Recent Advances -- Many-objective Optimization using Evolutionary Algorithms: A Survey -- On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking -- Practical Applications in Constrained Evolutionary Multi-objective Optimization.
|
| 520 |
|
|
|a This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-andcoming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include:< optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.
|
| 590 |
|
|
|a Loaded electronically.
|
| 590 |
|
|
|a Electronic access restricted to members of the Holy Cross Community.
|
| 650 |
|
0 |
|a Computational intelligence.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 690 |
|
|
|a Electronic resources (E-books)
|
| 700 |
1 |
|
|a Bechikh, Slim.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Datta, Rituparna.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Gupta, Abhishek.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 830 |
|
0 |
|a Adaptation, Learning, and Optimization,
|x 1867-4534 ;
|v 20
|
| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-319-42978-6
|3 Click to view e-book
|t 0
|
| 907 |
|
|
|a .b33169020
|b 04-18-22
|c 02-26-20
|
| 998 |
|
|
|a he
|b 02-26-20
|c m
|d @
|e -
|f eng
|g gw
|h 0
|i 1
|
| 912 |
|
|
|a ZDB-2-ENG
|
| 950 |
|
|
|a Engineering (Springer-11647)
|
| 902 |
|
|
|a springer purchased ebooks
|
| 903 |
|
|
|a SEB-COLL
|
| 945 |
|
|
|f - -
|g 1
|h 0
|j - -
|k - -
|l he
|o -
|p $0.00
|q -
|r -
|s b
|t 38
|u 0
|v 0
|w 0
|x 0
|y .i22300648
|z 02-26-20
|
| 999 |
f |
f |
|i 300d8ace-2209-5a77-b71a-3687839d6806
|s 984d3b87-54bd-56b5-8a4b-6498c2cf96ee
|t 0
|
| 952 |
f |
f |
|p Online
|a College of the Holy Cross
|b Main Campus
|c E-Resources
|d Online
|t 0
|e E-Book
|h Library of Congress classification
|i Elec File
|