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Decomposition-based evolutionary opt...

Chen, J.

Decomposition-based evolutionary optimization in complex environments

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Decomposition-based evolutionary optimization in complex environmentsJuan Li, Bin Xin, Jie Chen.
作者:	Li, Juan.
其他作者:	Xin, Bin.
出版者:	Singapore :World Scientific,c2021.
面頁冊數:	1 online resource (xvii, 229 p.)
標題:	Evolutionary computation.
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/11788#t=toc
ISBN:	9789811218996$q(ebook)

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: 9789811218996$q(ebook)Subjects--Topical Terms:

231709
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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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 231709
650 0 $a Multiple criteria decision making. $3 219475
700 1 $a Xin, Bin. $3 902682
700 1 $a Chen, J. $3 550333
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11788#t=toc