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Decomposition-based evolutionary opt...

Li, Juan.

Decomposition-based evolutionary optimization in complex environments

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Decomposition-based evolutionary optimization in complex environments/ Juan Li, Bin Xin, Jie Chen.
Author:	Li, Juan.
other author:	Xin, Bin.
Published:	Singapore :World Scientific, : c2021.,
Description:	1 online resource (xvii, 229 p.)
Subject:	Evolutionary computation. -
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/11788#t=toc
ISBN:	9789811218996

Decomposition-based evolutionary optimization in complex environments
Li, Juan.

Decomposition-based evolutionary optimization in complex environments[electronic resource] /Juan Li, Bin Xin, Jie Chen. - 1st ed. - Singapore :World Scientific,c2021. - 1 online resource (xvii, 229 p.)

Includes bibliographical references and index.

"Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of 'making things simple' and 'divide and conquer' to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization"--Publisher's website.

Mode of access: World Wide Web.

ISBN: 9789811218996Subjects--Topical Terms:

573187
Evolutionary computation.

LC Class. No.: TA347.E96 / L53 2021

Dewey Class. No.: 006.3823

Decomposition-based evolutionary optimization in complex environments
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020 $a 9811218994 $q (ebook)
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020 $z 9789811218989 $q (hbk.)
020 $z 9811218986 $q (hbk.)
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040 $a WSPC $b eng $c WSPC
050 0 4 $a TA347.E96 $b L53 2021
082 0 4 $a 006.3823 $2 23
100 1 $a Li, Juan. $3 1042598
245 1 0 $a Decomposition-based evolutionary optimization in complex environments $h [electronic resource] / $c Juan Li, Bin Xin, Jie Chen.
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2021.
300 $a 1 online resource (xvii, 229 p.)
504 $a Includes bibliographical references and index.
520 $a "Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of 'making things simple' and 'divide and conquer' to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization"--Publisher's website.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Description based on print version record.
650 0 $a Evolutionary computation. $3 573187
650 0 $a Multiple criteria decision making. $3 574496
700 1 $a Xin, Bin. $3 1342596
700 1 $a Chen, J. $e editor. $3 1271203
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11788#t=toc

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