Decomposition-based Evolutionary Optimization in Complex Environments - Couverture rigide

Li, Juan; Xin, Bin; Chen, Jie

 
9789811218989: Decomposition-based Evolutionary Optimization in Complex Environments

Synopsis

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 a ~making things simplea (TM) and a ~divide and conquera (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.

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