Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design
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 optimizati...
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2015
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oai:scholar.dlu.edu.vn:DLU123456789-582572023-11-11T06:03:35Z Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design Periaux, Jacques Gonzalez, Felipe Lee, Dong Seop Chris Mathematical optimization Game theory Evolutionary computation 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”. 2015-09-14T09:38:02Z 2015-09-14T09:38:02Z 2015 Book 978-94-017-9520-3 978-94-017-9519-7 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58257 en application/pdf Springer |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
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English |
topic |
Mathematical optimization Game theory Evolutionary computation |
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Mathematical optimization Game theory Evolutionary computation Periaux, Jacques Gonzalez, Felipe Lee, Dong Seop Chris Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design |
description |
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”. |
format |
Book |
author |
Periaux, Jacques Gonzalez, Felipe Lee, Dong Seop Chris |
author_facet |
Periaux, Jacques Gonzalez, Felipe Lee, Dong Seop Chris |
author_sort |
Periaux, Jacques |
title |
Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design:
Applications to Aeronautics and UAV Design |
title_short |
Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design:
Applications to Aeronautics and UAV Design |
title_full |
Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design:
Applications to Aeronautics and UAV Design |
title_fullStr |
Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design:
Applications to Aeronautics and UAV Design |
title_full_unstemmed |
Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design:
Applications to Aeronautics and UAV Design |
title_sort |
evolutionary optimization and game strategies for advanced multi-disciplinary design:
applications to aeronautics and uav design |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58257 |
_version_ |
1819834844039872512 |