Robustness Measures for Multi-objective Robust Design

A significant step to engineering design is to take into account uncertainties and to develop optimal designs that are robust with respect to perturbations. Furthermore, when multiple optimization objectives are involved it is important to define suitable

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António Gaspar-Cunha · Jacques Periaux · Kyriakos C. Giannakoglou · Nicolas R. Gauger · Domenico Quagliarella · David Greiner   Editors

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

Computational Methods in Applied Sciences Volume 55

Series Editor Eugenio Oñate, Universitat Politècnica de Catalunya, Barcelona, Spain

This series publishes monographs and carefully edited books inspired by the thematic conferences of ECCOMAS, the European Committee on Computational Methods in Applied Sciences. As a consequence, these volumes cover the fields of Mathematical and Computational Methods and Modelling and their applications to major areas such as Fluid Dynamics, Structural Mechanics, Semiconductor Modelling, Electromagnetics and CAD/CAM. Multidisciplinary applications of these fields to critical societal and technological problems encountered in sectors like Aerospace, Car and Ship Industry, Electronics, Energy, Finance, Chemistry, Medicine, Biosciences, Environmental sciences are of particular interest. The intent is to exchange information and to promote the transfer between the research community and industry consistent with the development and applications of computational methods in science and technology. Book proposals are welcome at Eugenio Oñate International Center for Numerical Methods in Engineering (CIMNE) Technical University of Catalunya (UPC) Edificio C-1, Campus Norte UPC Gran Capitán s/n08034 Barcelona, Spain [email protected] www.cimne.com or contact the publisher, Dr. Mayra Castro, [email protected] Indexed in SCOPUS, Google Scholar and SpringerLink.

More information about this series at http://www.springer.com/series/6899

António Gaspar-Cunha Jacques Periaux Kyriakos C. Giannakoglou Nicolas R. Gauger Domenico Quagliarella David Greiner •







Editors

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

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Editors António Gaspar-Cunha Department of Polymer Engineering University of Minho Guimaraes, Portugal Kyriakos C. Giannakoglou School of Mechanical Engineering National Technical University Athens Athens, Greece Domenico Quagliarella CIRA – Centro Italiano Ricerche Aerospaziali Capua, Italy

Jacques Periaux International Center for Numerical Method Barcelona, Spain Nicolas R. Gauger Technische Universität Kaiserslautern Kaiserslautern, Rheinland-Pfalz, Germany David Greiner University of Las Palmas de Gran Canaria Las Palmas, Spain

ISSN 1871-3033 Computational Methods in Applied Sciences ISBN 978-3-030-57421-5 ISBN 978-3-030-57422-2 https://doi.org/10.1007/978-3-030-57422-2

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© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadc