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

2Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Greiner, D., Périaux, J., Emperador, J. M., Galván, B., & Winter, G. (2019). A Diversity Dynamic Territory Nash Strategy in Evolutionary Algorithms: Enhancing Performances in Reconstruction Problems in Structural Engineering. In Computational Methods in Applied Sciences (Vol. 48, pp. 283–301). Springer Netherland. https://doi.org/10.1007/978-3-319-89988-6_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free