A memetic approach to the solution of constrained min-max problems
Filippi, Gianluca and Vasile, Massimiliano (2019) A memetic approach to the solution of constrained min-max problems. In: 2019 IEEE Congress on Evolutionary Computation, 2019-06-10 - 2019-06-13.
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Abstract
This paper proposes a novel memetic algorithm for the solution of constrained min-max problems that derive from the optimal design of complex systems under worst-case conditions. In this context the maximisation of a quantity of interest over the space of uncertain variables is required to identify the worst-case scenario (or worst-case solution under uncertainty). An optimal design vector is then identified such that the worst-case value of the quantity of interest is minimised. In the most general case, both maximisation and minimisation are subject to strict feasibility constraints. The ultimate goal of the minimisation problem is to identify the design solution that is feasible for all possible values of the uncertain parameters.
Creators(s): |
Filippi, Gianluca and Vasile, Massimiliano ![]() | Item type: | Conference or Workshop Item(Paper) |
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ID code: | 68668 |
Keywords: | worst case scenario, min-max, epistemic uncertainty, benchmark, Mechanical engineering and machinery, Mechanical Engineering |
Subjects: | Technology > Mechanical engineering and machinery |
Department: | Faculty of Engineering > Mechanical and Aerospace Engineering Strategic Research Themes > Ocean, Air and Space Technology and Innovation Centre > Advanced Engineering and Manufacturing |
Depositing user: | Pure Administrator |
Date deposited: | 02 Jul 2019 10:11 |
Last modified: | 01 Jan 2021 07:52 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/68668 |
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