Decomposition-based Evolutionary Optimization In Complex Environments (Hardcover)

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 aEURO~making things simpleaEURO (TM) and aEURO~divide and conqueraEURO (TM) 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.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Release date:	June 2020
First published:	2021
Authors:	Juan Li • Bin Xin • Jie Chen
Dimensions:	159 x 236 x 22mm (L x W x T)
Format:	Hardcover
Pages:	248
ISBN-13:	978-981-12-1898-9
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Promotions
LSN:	981-12-1898-6
Barcode:	9789811218989

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