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.
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