語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
NEO 2015results of the Numerical and...
~
(1998 :)
NEO 2015results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
NEO 2015edited by Oliver Schutze ... [et al.].
其他題名:
results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /
其他作者:
Schutze, Oliver.
團體作者:
出版者:
Cham :Springer International Publishing :2017.
面頁冊數:
xvi, 444 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Mathematical optimization
電子資源:
https://doi.org/10.1007/978-3-319-44003-3
ISBN:
9783319440033$q(electronic bk.)
NEO 2015results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /
NEO 2015
results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /[electronic resource] :edited by Oliver Schutze ... [et al.]. - Cham :Springer International Publishing :2017. - xvi, 444 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.6631860-949X ;. - Studies in computational intelligence ;v. 216..
Part I Genetic Programming -- Part II Combinatorial Optimization -- Part IV Machine Learning and Real World Applications.
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.
ISBN: 9783319440033$q(electronic bk.)
Standard No.: 10.1007/978-3-319-44003-3doiSubjects--Topical Terms:
252884
Mathematical optimization
LC Class. No.: QA402.5 / .N46 2015
Dewey Class. No.: 519.6
NEO 2015results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /
LDR
:02712nmm a2200337 a 4500
001
558425
003
DE-He213
005
20191112172236.0
006
m d
007
cr nn 008maaau
008
191212s2017 gw s 0 eng d
020
$a
9783319440033$q(electronic bk.)
020
$a
9783319440026$q(paper)
024
7
$a
10.1007/978-3-319-44003-3
$2
doi
035
$a
978-3-319-44003-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA402.5
$b
.N46 2015
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
519.6
$2
23
090
$a
QA402.5
$b
.N971 2015
111
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
245
1 0
$a
NEO 2015
$h
[electronic resource] :
$b
results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /
$c
edited by Oliver Schutze ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2017.
300
$a
xvi, 444 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-949X ;
$v
v.663
505
0
$a
Part I Genetic Programming -- Part II Combinatorial Optimization -- Part IV Machine Learning and Real World Applications.
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.
650
0
$a
Mathematical optimization
$3
252884
650
0
$a
Evolution equations
$v
Congresses.
$3
800454
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Optimization.
$3
274084
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
274492
650
2 4
$a
Big Data/Analytics.
$3
742047
700
1
$a
Schutze, Oliver.
$3
841088
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Studies in computational intelligence ;
$v
v. 216.
$3
380871
856
4 0
$u
https://doi.org/10.1007/978-3-319-44003-3
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000170557
電子館藏
1圖書
電子書
EB QA402.5 .N971 2015 2017
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-319-44003-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入