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Results tagged with multi-objective-optimization
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Multi-objective optimization is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Involve two or more optimization goals that are conflicting, meaning that improvement to one objective comes at the expense of another objective. The two methods for perform a multi-objetive-optimization are Pareto and scalarization.
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Can Deep RL be used to find optimal division point in an application?
I need to optimise the end-to-end latency for a multi-service application while distributing it on multiple devices. The application is a series of services interconnected to each other. The goal is t …
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How this problem can be defined as MultiObjective optimisation
I need to optimize the end-to-end latency of a multi-component application.
Assuming that the application has 10 components, component 1-5 is hosted by device 1, and device 2 is hosting the other 5 co …
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Which method to use to solve this multi-objective conflicting objectives
I have the following multiobjective problem.
I need to minimize the user-perceived latency while doing so aggressively minimizing user-perceived latency generates large switching cost (Reconfiguration …
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