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Authors
Advisor(s)
Abstract(s)
A Pareto front provides to the decision-maker a set of optimal solutions from where a unique solution
should be selected to solve a multiresponse problem. However, the responses’ prediction standard error for each one
of the optimal solutions is different, which impacts on the reproducibility of Pareto solutions. This means that the
decision-maker has to take into account the responses’ prediction standard error in the solution selection process. For
this purpose, a metric to assess the solutions quality of prediction is suggested. A bi-objective problem is used as
example and results displayed graphically.
Description
Trabalho apresentado em 4th International Conference on Mechanical, Automotive and Materials Engineering (CMAME 2016), 25-27 agosto, Chengdu, China