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Risk, Optimization and Meanfield Type Control Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Diversity Dynamic Territory Nash Strategy in Evolutionary Algorithms: Enhancing Performances in Reconstruction Problems in Structural Engineering

Authors : David Greiner, Jacques Périaux, J. M. Emperador, B. Galván, G. Winter

Published in: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Publisher: Springer International Publishing

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Abstract

Game-theory based Nash–evolutionary algorithms are efficient to speed-up and parallelize the optimum design procedure. They have been applied in several fields of engineering and sciences, mainly, in aeronautical and structural engineering. The influence of the search space player territory has been shown as having an important role in the algorithm performance. Here we present a study where a diversity enhanced dynamic player territory is introduced and its behavior is tested in a reconstruction problem in structural engineering. The proposed diversity dynamic territory seems to increase the optimization procedure robustness, and improves the results from a classical dynamic territory, in a structural frame test case.

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previous chapter Augmented Lagrangian Approach for Constrained Potential Nash Games
next chapter Interactive Inverse Modeling Based Multiobjective Evolutionary Algorithm
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Metadata
Title
A Diversity Dynamic Territory Nash Strategy in Evolutionary Algorithms: Enhancing Performances in Reconstruction Problems in Structural Engineering
Authors
David Greiner
Jacques Périaux
J. M. Emperador
B. Galván
G. Winter
Copyright Year
2019
Book
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Print ISBN: 978-3-319-89986-2

Electronic ISBN: 978-3-319-89988-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-89988-6_17

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