東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Recent advances in computational opt...

Fidanova, Stefka.

FindBook

Google Book

Amazon

博客來

Recent advances in computational optimization = results of the workshop on computational optimization WCO 2017 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Recent advances in computational optimization/ edited by Stefka Fidanova.
其他題名:	results of the workshop on computational optimization WCO 2017 /
其他作者:	Fidanova, Stefka.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	x, 236 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Contraction methods for correlation clustering: the order is important (Laszlo Aszal'os) -- Chapter 2. Optimisation of Preparedness and Response of Health services in major crises using the IMPRESS platform (Nina Dobrinkova) -- Chapter 3. The new approach for dynamic optimization with variability constraints (Pawel Drag) -- Chapter 4. Intercriteria Analisys of ACO Performance for Workforce Planning Problem (Olympia Roeva) etc.
Contained By:	Springer eBooks
標題:	Computational intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-319-99648-6
ISBN:	9783319996486

Recent advances in computational optimization = results of the workshop on computational optimization WCO 2017 /
Recent advances in computational optimizationresults of the workshop on computational optimization WCO 2017 /[electronic resource] :edited by Stefka Fidanova. - Cham :Springer International Publishing :2019. - x, 236 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7951860-949X ;. - Studies in computational intelligence ;v.795..

Chapter 1. Contraction methods for correlation clustering: the order is important (Laszlo Aszal'os) -- Chapter 2. Optimisation of Preparedness and Response of Health services in major crises using the IMPRESS platform (Nina Dobrinkova) -- Chapter 3. The new approach for dynamic optimization with variability constraints (Pawel Drag) -- Chapter 4. Intercriteria Analisys of ACO Performance for Workforce Planning Problem (Olympia Roeva) etc.

Our everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or progress achieved. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization. Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others.

ISBN: 9783319996486

Standard No.: 10.1007/978-3-319-99648-6doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .R43 2019

Dewey Class. No.: 006.3

Recent advances in computational optimization = results of the workshop on computational optimization WCO 2017 /
LDR:02553nmm a2200337 a 4500 001 2177995
003 DE-He213
005 20190614115726.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783319996486 $q (electronic bk.)
020 $a 9783319996479 $q (paper)
024 7 $a 10.1007/978-3-319-99648-6 $2 doi
035 $a 978-3-319-99648-6
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342 $b .R43 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .R295 2019
245 0 0 $a Recent advances in computational optimization $h [electronic resource] : $b results of the workshop on computational optimization WCO 2017 / $c edited by Stefka Fidanova.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 236 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.795
505 0 $a Chapter 1. Contraction methods for correlation clustering: the order is important (Laszlo Aszal'os) -- Chapter 2. Optimisation of Preparedness and Response of Health services in major crises using the IMPRESS platform (Nina Dobrinkova) -- Chapter 3. The new approach for dynamic optimization with variability constraints (Pawel Drag) -- Chapter 4. Intercriteria Analisys of ACO Performance for Workforce Planning Problem (Olympia Roeva) etc.
520 $a Our everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or progress achieved. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization. Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others.
650 0 $a Computational intelligence $x Congresses. $3 704428
650 0 $a Mathematical optimization $x Congresses. $3 647613
650 0 $a Algorithms. $3 536374
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Fidanova, Stefka. $3 2133452
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.795. $3 3381723
856 4 0 $u https://doi.org/10.1007/978-3-319-99648-6
950 $a Intelligent Technologies and Robotics (Springer-42732)