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Decomposition-based Evolutionary Optimization In Complex Environments

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Decomposition-based Evolutionary Optimization In Complex Environments Li Juan Li
Libristo code: 41335134
Publishers World Scientific, June 2020
Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely... Full description
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89.01 €
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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 amaking things simple and adivide 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.

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About the book

Full name Decomposition-based Evolutionary Optimization In Complex Environments
Author Li Juan Li, Xin Bin Xin, Chen Jie Chen
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2020
Number of pages 248
EAN 9789811219009
Libristo code 41335134
Publishers World Scientific

Categories

Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
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