國立高雄大學圖資館 |

Language: English

Back

Evolutionary multi-criterion optimiz...

(1998 :)

Evolutionary multi-criterion optimization9th International Conference, EMO 2017, Munster, Germany, March 19-22, 2017 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary multi-criterion optimizationedited by Heike Trautmann ... [et al.].
Reminder of title:	9th International Conference, EMO 2017, Munster, Germany, March 19-22, 2017 : proceedings /
remainder title:	EMO 2017
other author:	Trautmann, Heike.
corporate name:
Published:	Cham :Springer International Publishing :2017.
Description:	xiv, 702 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical optimization
Online resource:	http://dx.doi.org/10.1007/978-3-319-54157-0
ISBN:	9783319541570$q(electronic bk.)

Evolutionary multi-criterion optimization9th International Conference, EMO 2017, Munster, Germany, March 19-22, 2017 : proceedings /
Evolutionary multi-criterion optimization9th International Conference, EMO 2017, Munster, Germany, March 19-22, 2017 : proceedings /[electronic resource] :EMO 2017edited by Heike Trautmann ... [et al.]. - Cham :Springer International Publishing :2017. - xiv, 702 p. :ill., digital ;24 cm. - Lecture notes in computer science,101730302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Munster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.

ISBN: 9783319541570$q(electronic bk.)

Standard No.: 10.1007/978-3-319-54157-0doiSubjects--Topical Terms:

252884
Mathematical optimization

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Evolutionary multi-criterion optimization9th International Conference, EMO 2017, Munster, Germany, March 19-22, 2017 : proceedings /
LDR:01943nmm a2200325 a 4500 001 507256
003 DE-He213
005 20170218105457.0
006 m d
007 cr nn 008maaau
008 171030s2017 gw s 0 eng d
020 $a 9783319541570$q(electronic bk.)
020 $a 9783319541563$q(paper)
024 7 $a 10.1007/978-3-319-54157-0 $2 doi
035 $a 978-3-319-54157-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a UYA $2 bicssc
072 7 $a COM051300 $2 bisacsh
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .E54 2017
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Evolutionary multi-criterion optimization $h [electronic resource] : $b 9th International Conference, EMO 2017, Munster, Germany, March 19-22, 2017 : proceedings / $c edited by Heike Trautmann ... [et al.].
246 3 $a EMO 2017
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiv, 702 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10173
520 $a This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Munster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.
650 0 $a Mathematical optimization $3 252884
650 0 $a Evolutionary computation $v Congresses. $3 438415
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Numeric Computing. $3 275524
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
650 2 4 $a Models and Principles. $3 273718
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Computer Communication Networks. $3 218087
700 1 $a Trautmann, Heike. $3 773782
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-54157-0
950 $a Computer Science (Springer-11645)