An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models. Barrico, C. & Antunes, C. In Evolutionary Computation in Dynamic and Uncertain Environments, volume 51/2007, of Studies in Computational Intelligence, pages 565--582. Springer, 2007. ![An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex This chapter presents an approach to robustness analysis in multiobjective optimization problems, in which the decision variable space is subject to small perturbations . The concept of degree of robustness is incorporated into the evolutionary algorithm, being operationalized in the computation of the fitness value assigned to solutions, in the selection of the elite, and in the application of the sharing mechanism. Non-dominated solutions are classified according to their degree of robustness. The information on the degree of robustness of solutions is provided to support the decision maker in the selection of a robust compromise solution.
@incollection{barrico_evolutionary_2007,
series = {Studies in {Computational} {Intelligence}},
title = {An {Evolutionary} {Approach} for {Assessing} the {Degree} of {Robustness} of {Solutions} to {Multi}-{Objective} {Models}},
volume = {51/2007},
url = {http://dx.doi.org/10.1007/978-3-540-49774-5_25},
abstract = {This chapter presents an approach to robustness analysis in multiobjective optimization problems, in which the decision variable space is subject to small perturbations . The concept of degree of robustness is incorporated into the evolutionary algorithm, being operationalized in the computation of the fitness value assigned to solutions, in the selection of the elite, and in the application of the sharing mechanism. Non-dominated solutions are classified according to their degree of robustness. The information on the degree of robustness of solutions is provided to support the decision maker in the selection of a robust compromise solution.},
booktitle = {Evolutionary {Computation} in {Dynamic} and {Uncertain} {Environments}},
publisher = {Springer},
author = {Barrico, Carlos and Antunes, Carlos},
year = {2007},
pages = {565--582}
}
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