The term ‘Expensive optimization problem’ (EOP) refers to any problem that requires expensive or even unaffordable costs to evaluate candidate solutions. These problems exist in many significant real-world applications.
On the one hand, the “expensive cost” can refer that an evaluation itself that requires abundant time, money and so on. On the other hand, the “expensive cost” is a relative concept rather than an absolute concept in many real-world problems.
For instance, when encountering emergencies like epidemics or natural disasters, transportation and dispatching can be urgent for supporting daily operations and saving lives, where the time cost of optimization will become too expensive to accept at this time.
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