|Title:||A diversity dynamic territory nash strategy in evolutionary algorithms: enhancing performances in reconstruction problems in structural engineering||Authors:||Greiner, David
Emperador, J. M.
|UNESCO Clasification:||1206 Análisis numérico
120601 Construcción de algoritmos
120699 Otras (especificar)
|Keywords:||Optimización||Issue Date:||2019||Publisher:||Springer||Journal:||Computational Methods in Applied Sciences||Conference:||11th EUROGEN International Conference 2015||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.||URI:||http://hdl.handle.net/10553/41938||ISBN:||978-3-319-89986-2||ISSN:||1871-3033||DOI:||10.1007/978-3-319-89988-6_17||Source:||Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / Edmondo Minisci, Massimiliano Vasile, Jacques Periaux. Nicolas R. Gauger, Kyriakos C. Giannakoglou, Domenico Quagliarella (eds). Computational Methods in Applied Sciences [ISSN 1871-3033], v. 48, p. 283-301|
|Appears in Collections:||Capítulo de libro|
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