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Decomposition-based Evolutionary Optimization in Complex Environments - Juan Li

Decomposition-based Evolutionary Optimization in Complex Environments

By: Juan Li, Bin Xin, Jie Chen

eText | 24 June 2020

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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 â??making things simpleâ?? and â??divide and conquerâ?? 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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Non-FictionComputing & I.T.Computer Programming & Software DevelopmentAlgorithms & Data Structures

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