東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Evolutionary multi-criterion optimiz...

EMO (Conference) (2021 :)

Linked to FindBook

Google Book

Amazon

博客來

Evolutionary multi-criterion optimization = 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary multi-criterion optimization/ edited by Hisao Ishibuchi ... [et al.].
Reminder of title:	11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021 : proceedings /
remainder title:	EMO 2021
other author:	Ishibuchi, Hisao.
corporate name:	EMO (Conference)
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvi, 781 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-72062-9
ISBN:	9783030720629

Evolutionary multi-criterion optimization = 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021 : proceedings /
Evolutionary multi-criterion optimization11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021 : proceedings /[electronic resource] :EMO 2021edited by Hisao Ishibuchi ... [et al.]. - Cham :Springer International Publishing :2021. - xvi, 781 p. :ill., digital ;24 cm. - Lecture notes in computer science,126540302-9743 ;. - Lecture notes in computer science ;12654..

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.

ISBN: 9783030720629

Standard No.: 10.1007/978-3-030-72062-9doiSubjects--Topical Terms:

647613
Mathematical optimization
--Congresses.

LC Class. No.: QA402.5 / .E56 2021

Dewey Class. No.: 519.6

Evolutionary multi-criterion optimization = 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021 : proceedings /
LDR:01870nmm a2200349 a 4500 001 2238913
003 DE-He213
005 20210323174837.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030720629 $q (electronic bk.)
020 $a 9783030720612 $q (paper)
024 7 $a 10.1007/978-3-030-72062-9 $2 doi
035 $a 978-3-030-72062-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .E56 2021
072 7 $a UMB $2 bicssc
072 7 $a COM051300 $2 bisacsh
072 7 $a UMB $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .E54 2021
111 2 $a EMO (Conference) $n (11th : $d 2021 : $c Shenzhen, China) $3 3492441
245 1 0 $a Evolutionary multi-criterion optimization $h [electronic resource] : $b 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021 : proceedings / $c edited by Hisao Ishibuchi ... [et al.].
246 3 $a EMO 2021
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvi, 781 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12654
490 1 $a Theoretical computer science and general issues
520 $a This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.
650 0 $a Mathematical optimization $x Congresses. $3 647613
650 0 $a Evolutionary computation $x Congresses. $3 582175
650 1 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Theory of Computation. $3 892514
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Mathematics of Computing. $3 891213
700 1 $a Ishibuchi, Hisao. $3 896134
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 12654. $3 3492442
830 0 $a Theoretical computer science and general issues. $3 3382501
856 4 0 $u https://doi.org/10.1007/978-3-030-72062-9
950 $a Computer Science (SpringerNature-11645)