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

New advancements in swarm algorithms...

Fausto, Fernando.

FindBook

Google Book

Amazon

博客來

New advancements in swarm algorithms: operators and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New advancements in swarm algorithms: operators and applications/ by Erik Cuevas, Fernando Fausto, Adrian Gonzalez.
作者:	Cuevas, Erik.
其他作者:	Fausto, Fernando.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xv, 296 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Algorithms. -
電子資源:	https://doi.org/10.1007/978-3-030-16339-6
ISBN:	9783030163396

New advancements in swarm algorithms: operators and applications
Cuevas, Erik.

New advancements in swarm algorithms: operators and applications[electronic resource] /by Erik Cuevas, Fernando Fausto, Adrian Gonzalez. - Cham :Springer International Publishing :2020. - xv, 296 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1601868-4394 ;. - Intelligent systems reference library ;v.160..

This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.

ISBN: 9783030163396

Standard No.: 10.1007/978-3-030-16339-6doiSubjects--Topical Terms:

536374
Algorithms.

LC Class. No.: QA9.58

Dewey Class. No.: 518.1

New advancements in swarm algorithms: operators and applications
LDR:02112nmm a2200325 a 4500 001 2213423
003 DE-He213
005 20200207101802.0
006 m d
007 cr nn 008maaau
008 201117s2020 sz s 0 eng d
020 $a 9783030163396 $q (electronic bk.)
020 $a 9783030163389 $q (paper)
024 7 $a 10.1007/978-3-030-16339-6 $2 doi
035 $a 978-3-030-16339-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA9.58
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 518.1 $2 23
090 $a QA9.58 $b .C965 2020
100 1 $a Cuevas, Erik. $3 2180030
245 1 0 $a New advancements in swarm algorithms: operators and applications $h [electronic resource] / $c by Erik Cuevas, Fernando Fausto, Adrian Gonzalez.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xv, 296 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.160
520 $a This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.
650 0 $a Algorithms. $3 536374
650 0 $a Metaheuristics. $3 2206834
650 0 $a Swarm intelligence. $3 577800
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Fausto, Fernando. $3 3442880
700 1 $a Gonzalez, Adrian. $3 3442881
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.160. $3 3442882
856 4 0 $u https://doi.org/10.1007/978-3-030-16339-6
950 $a Intelligent Technologies and Robotics (Springer-42732)