YouTube Excerpt: When two or more agents are connected in part of a larger system, it is often the case that a decision (or design) variable selected by one agent will become a parameter in the other's objective function. That is, the optimal solution for each individual agent depends on the decisions made by the other agent(s). The most interesting thing about multiobjective analysis is when different agents in a larger system have different design variables and different objective functions. The best solution for both is found by empathizing (i.e., adopting the perspective) of the other.
When two or more agents are connected in part of a larger system, it is often the case that a decision (or design) variable selected by one agent...
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