Description: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design : Applications to Aeronautics and UAV Design, Hardcover by Periaux, Jacques; Gonzalez, Felipe; Lee, Dong Seop Chris, ISBN 9401795193, ISBN-13 9789401795197, Brand New, Free shipping in the US Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies. This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named “Hybridized Nash-Pareto games”. Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments. The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems. This book will be of interest to students, young scientists and engineers involved in the field of multi physics optimization.
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Book Title: Evolutionary Optimization and Game Strategies for Advanced Multi-
Number of Pages: Xxi, 305 Pages
Publication Name: Multidisciplinary Evolutionary Optmisation : Applications to Aeronautics
Language: English
Publisher: Springer Netherlands
Publication Year: 2015
Subject: Game Theory, Industrial Design / General, Neural Networks, Automotive, Aeronautics & Astronautics, Optimization
Type: Textbook
Item Weight: 217 Oz
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Author: Jacques Periaux, Dong Seop Chris Lee, Felipe Gonzalez
Series: Intelligent Systems, Control and Automation: Science and Engineering Ser.
Item Width: 6.1 in
Format: Hardcover
