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Decomposition-based evolutionary optimization in complex environments

Decomposition-based evolutionary optimization in complex environments

Material type
단행본
Personal Author
Li, Juan, (Mathematician) author. Xin, Bin, author. Chen, J. (Jie), author.
Title Statement
Decomposition-based evolutionary optimization in complex environments / Juan Li, Bin Xin, Jie Chen, Beijing Institute of Technology, China.
Publication, Distribution, etc
Hoboken :   World Scientific,   c2021.  
Physical Medium
xvii, 229 p. : ill. ; 24 cm.
ISBN
9789811218989 (hardcover)
요약
"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"--
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Evolutionary computation. Multiple criteria decision making.
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010 ▼a 2020027891
020 ▼a 9789811218989 (hardcover)
020 ▼z 9789811218996 (ebook for institutions)
020 ▼z 9789811219009 (ebook for individuals)
035 ▼a (KERIS)REF000019326320
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
042 ▼a pcc
050 0 0 ▼a TA347.E96 ▼b L53 2021
082 0 0 ▼a 006.3/823 ▼2 23
084 ▼a 006.3823 ▼2 DDCK
090 ▼a 006.3823 ▼b L693d
100 1 ▼a Li, Juan, ▼c (Mathematician) ▼e author.
245 1 0 ▼a Decomposition-based evolutionary optimization in complex environments / ▼c Juan Li, Bin Xin, Jie Chen, Beijing Institute of Technology, China.
260 ▼a Hoboken : ▼b World Scientific, ▼c c2021.
263 ▼a 2009
300 ▼a xvii, 229 p. : ▼b ill. ; ▼c 24 cm.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a unmediated ▼b n ▼2 rdamedia
338 ▼a volume ▼b nc ▼2 rdacarrier
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"-- ▼c Provided by publisher.
650 0 ▼a Evolutionary computation.
650 0 ▼a Multiple criteria decision making.
700 1 ▼a Xin, Bin, ▼e author.
700 1 ▼a Chen, J. ▼q (Jie), ▼e author.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.3823 L693d Accession No. 121255375 Availability Available Due Date Make a Reservation Service B M

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