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Into a deeper understanding of evolutionary computing = exploration, exploitation, and parameter control.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Into a deeper understanding of evolutionary computing/ by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail.
Reminder of title:	exploration, exploitation, and parameter control.
Author:	Abdul Hanif Abdul Halim.
other author:	Das, Swagatam.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xvi, 320 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Location size and capacity -- Algorithm Parameters Tuning and Control -- Conclusion and Future Prospects.
Contained By:	Springer Nature eBook
Subject:	Metaheuristics. -
Online resource:	https://doi.org/10.1007/978-3-031-75577-4
ISBN:	9783031755774

Into a deeper understanding of evolutionary computing = exploration, exploitation, and parameter control.. Volume 2 /
Abdul Hanif Abdul Halim.

Into a deeper understanding of evolutionary computingexploration, exploitation, and parameter control.Volume 2 /[electronic resource] :by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail. - Cham :Springer Nature Switzerland :2024. - xvi, 320 p. :ill. (some col.), digital ;24 cm. - Emergence, complexity and computation,v. 512194-7295 ;. - Emergence, complexity and computation ;v. 51..

Location size and capacity -- Algorithm Parameters Tuning and Control -- Conclusion and Future Prospects.

This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.

ISBN: 9783031755774

Standard No.: 10.1007/978-3-031-75577-4doiSubjects--Topical Terms:

2206834
Metaheuristics.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.13

Into a deeper understanding of evolutionary computing = exploration, exploitation, and parameter control.. Volume 2 /
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245 1 0 $a Into a deeper understanding of evolutionary computing $h [electronic resource] : $b exploration, exploitation, and parameter control. $n Volume 2 / $c by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xvi, 320 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Emergence, complexity and computation, $x 2194-7295 ; $v v. 51
505 0 $a Location size and capacity -- Algorithm Parameters Tuning and Control -- Conclusion and Future Prospects.
520 $a This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.
650 0 $a Metaheuristics. $3 2206834
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650 1 4 $a Computational Intelligence. $3 1001631
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700 1 $a Das, Swagatam. $3 1002229
700 1 $a Ismail, Idris. $3 3734801
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830 0 $a Emergence, complexity and computation ; $v v. 51. $3 3735747
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)