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

Multi-objective optimization using a...

Mirjalili, Seyedali.

FindBook

Google Book

Amazon

博客來

Multi-objective optimization using artificial intelligence techniques

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-objective optimization using artificial intelligence techniques/ by Seyedali Mirjalili, Jin Song Dong.
作者:	Mirjalili, Seyedali.
其他作者:	Dong, Jin Song.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xi, 58 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-3-030-24835-2
ISBN:	9783030248352

Multi-objective optimization using artificial intelligence techniques
Mirjalili, Seyedali.

Multi-objective optimization using artificial intelligence techniques[electronic resource] /by Seyedali Mirjalili, Jin Song Dong. - Cham :Springer International Publishing :2020. - xi, 58 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

ISBN: 9783030248352

Standard No.: 10.1007/978-3-030-24835-2doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5 / .M57 2020

Dewey Class. No.: 519.3

Multi-objective optimization using artificial intelligence techniques
LDR:01847nmm a2200325 a 4500 001 2213686
003 DE-He213
005 20200218170632.0
006 m d
007 cr nn 008maaau
008 201117s2020 sz s 0 eng d
020 $a 9783030248352 $q (electronic bk.)
020 $a 9783030248345 $q (paper)
024 7 $a 10.1007/978-3-030-24835-2 $2 doi
035 $a 978-3-030-24835-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .M57 2020
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 519.3 $2 23
090 $a QA402.5 $b .M675 2020
100 1 $a Mirjalili, Seyedali. $3 3378331
245 1 0 $a Multi-objective optimization using artificial intelligence techniques $h [electronic resource] / $c by Seyedali Mirjalili, Jin Song Dong.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xi, 58 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
520 $a This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
650 0 $a Mathematical optimization. $3 517763
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Operations Research/Decision Theory. $3 890895
700 1 $a Dong, Jin Song. $3 1245610
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $3 1565541
856 4 0 $u https://doi.org/10.1007/978-3-030-24835-2
950 $a Intelligent Technologies and Robotics (Springer-42732)