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Many optimization models focus on historical returns.
Such studies can elicit consumers' willingness to pay (WTP), a core input for many optimization models.
Since Lancia et al., first formalized the SIH problem [ 13], many optimization models and algorithms have been introduced to solve the problem [ 7, 14- 25].
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For the effective implementation of an inter-organizational supply chain on the Web, many optimization model agents need to be embedded in the distributed software agents.
However, the analysis of ranking evaluation functions (REFs), which play a major role in many ranking optimization models, needs to be further investigated.
Although research cost, here evaluated as the cost of research human resources, is commonly ignored in many tolerance optimization models, it may not be a good assumption because it is evident from this particular example that a failure to consider the research cost in tolerance optimization is likely to result in a suboptimal tolerance.
If the eight objectives in the many-objective optimization model of the IES are optimized simultaneously, the number of Pareto-optimal solutions will be numerous, which leads to a heavy burden for the optimization and decision making process.
This paper proposes a many-objective optimization model for the coordinated optimal dispatch of an IES.
There are many different combinatorial optimization models for SIH, among which MEC is the most popular and MFC is the most recent introduction [ 16].
Furthermore, this paper proposes a novel objective reduction approach named IOR to tackle the many-objective optimization model, in which the relationships among the many objectives are quantitatively analyzed and a specific reduced formulation of the original MaOP can be defined via various strategies.
A many-objective optimization model has been developed to optimally coordinate the operation of the IES with electricity network, gas network and DHCs embedded.
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