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Efficient Hybrid-Game Strategies Coupled to Evolutionary Algorithms for Robust Multidisciplinary Design Optimization in Aerospace Engineering

D S Lee, L F Gonzalez, J Périaux, K Srinivas
2011 IEEE Transactions on Evolutionary Computation  
Mason for providing access to FLO22 and FRICTION software, and F. Chatzigeorgiadis and D. C. Jenn for POFACETs software in this research  ...  ACKNOWLEDGMENT The authors are grateful to E. Whitney and M. Sefrioui for fruitful discussions on Asynchronous Parallel and Hierarchical EAs. They are also thankful to A. Jameson and W. H.  ...  Strategies Coupled to Evolutionary Algorithms for Robust Multidisciplinary Design Optimization in Aerospace Engineering D.  ... 
doi:10.1109/tevc.2010.2043364 fatcat:cpz6zu3ahbd77fkpeeznrrvp5i

Double-shock control bump design optimization using hybridized evolutionary algorithms

D S Lee, L F Gonzalez, J Periaux, G Bugeda
2011 Proceedings of the Institution of Mechanical Engineers. Part G, Journal of Aerospace Engineering  
The first optimisation method uses Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithm (HAPMOEA) and the second uses Hybridized EA with Nash-Game strategies (Hybrid-Game).  ...  The paper investigates the application of two advanced optimisation methods for solving active flow control device shape design problem and compares their optimisation efficiency in terms of computational  ...  Sefrioui, Dassault Aviation for fruitful discussions on Hierarchical EAs and their contribution to the optimisation procedure and, also to M. Drela at MIT for providing MSES software.  ... 
doi:10.1177/0954410011406210 fatcat:ewqytlqxabcuxdsqcc5hstmrqq

Aircraft Conceptual Design Optimization Considering Fidelity Uncertainties

Daniel Neufeld, Joon Chung, Kamran Behdinian
2011 Journal of Aircraft  
Both MCS methods use GAME, a multiobjective genetic algorithm (GA) optimizer described in Langer et al. [49]. GAME implements both genetic and evolutionary programming techniques.  ...  more robust and efficient for most applications [24,39].  ... 
doi:10.2514/1.c031312 fatcat:vplddwanffgilbrq2rhurxpjiy

Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering

Alfredo Arias-Montano, Carlos A. Coello Coello, Efrén Mezura-Montes
2012 IEEE Transactions on Evolutionary Computation  
We also provide a set of general guidelines for using and designing MOEAs for aeronautical and aerospace engineering problems.  ...  Nowadays, the solution of multi-objective optimization problems in aeronautical and aerospace engineering has become a standard practice.  ...  ACKNOWLEDGEMENTS The first author acknowledges support from IPN and CONACyT to pursue graduate studies at the Computer Science Department of CINVESTAV-IPN.  ... 
doi:10.1109/tevc.2011.2169968 fatcat:jks6ga5vsjd7teh6wx3mpcq6xa

A Review of Concepts, Benefits, and Challenges for Future Electrical Propulsion-Based Aircraft

Smruti Sahoo, Xin Zhao, Konstantinos Kyprianidis
2020 Aerospace (Basel)  
A suitable modeling framework is desired in order to explore the design space at the conceptual level.  ...  Despite lofty promises, the concept must overcome the design and sizing challenges to make it realizable.  ...  the MPC algorithm to optimize the mission adaptive design variables such as the power split.  ... 
doi:10.3390/aerospace7040044 fatcat:pzkhngprfjc2nagix7t2gxcwby

Multiobjective Design Optimization Using Nash Games [chapter]

Jean-Antoine Désidéri, Régis Duvigneau, Abderrahmane Habbal
2014 Computational Intelligence in Aerospace Sciences  
To illustrate the NSGA, we present an experiment made by Marco et al [40] in which an airfoil shape was optimized to reduce drag (in transonic flow conditions) and maximize lift (in subsonic flow conditions  ...  , the engine of the GA.  ...  Acknowledgments Nash games were introduced to the authors by the late J.-L. Lions, and J.  ... 
doi:10.2514/5.9781624102714.0583.0642 fatcat:uir6cdgbknc7nfdz5fzvo6safa

Artificial Intelligence for Space Applications [chapter]

Daniela Girimonte, Dario Izzo
2007 Intelligent Computing Everywhere  
In recent years, this has led to an increasing interest in artificial intelligence by the entire aerospace community.  ...  The ambitious short-term and long-term goals set down by the various national space agencies call for radical advances in several of the main space engineering areas, the design of intelligent space agents  ...  toward an optimal and robust design.  ... 
doi:10.1007/978-1-84628-943-9_12 fatcat:ltftbqhpwfbpxkdaseucc2mfdu

A unification of the prevalent views on exploitation, exploration, intensification and diversification

Francois Fagan, Jan H. Van Vuuren
2013 International Journal of Metaheuristics (IJMHeur)  
Terms such as exploitation, exploration, intensification and diversification are routinely employed in the metaheuristic literature to explain empirical runtime performance.  ...  Six prevalent views on exploitation and exploration are identified in the literature, each expressing a different aspect of these notions.  ...  Opinions expressed and conclusions arrived at, are those of the authors and are not necessarily to be attributed to the NRF.  ... 
doi:10.1504/ijmheur.2013.056407 fatcat:vjiilb22yvci3avo2xjjuy2iuq

A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines

Gunther Waxenegger-Wilfing, Kai Dresia, Jan Deeken, Michael Oschwald
2021 IEEE Transactions on Aerospace and Electronic Systems  
The control of the transient phases is traditionally performed in open-loop due to highly nonlinear system dynamics. This situation is unsatisfactory, in particular for reusable engines.  ...  In this paper, we study a deep reinforcement learning approach for optimal control of a generic gas-generator engine's continuous start-up phase.  ...  ACKNOWLEDGMENT The authors would like to thank Wolfgang Kitsche, Robson Dos Santos Hahn, and Michael Börner for valuable discussions concerning the start-up of a gas-generator cycle liquid rocket engine  ... 
doi:10.1109/taes.2021.3074134 fatcat:tykhhkd2b5gpjnzhfaiw5zaba4

Final Program

2020 2020 International Conference on Unmanned Aircraft Systems (ICUAS)  
, scientists, engineers, practitioners and end-users; advance the state-of-the-art in unmanned aviation; promote higher education.  ...  In response to the Call for Papers, we received 327 contributed and invited session papers. This is the highest ever compared to all previous years.  ...  algorithm, with a k-d tree-based obstacle avoidance strategy and three-step optimization.  ... 
doi:10.1109/icuas48674.2020.9214039 fatcat:7jr6chhfija47kgtwoxqmfmmoe

A computational study of turbulent flow separation for a circular cylinder using skin friction boundary conditions [chapter]

Johan Hoffman, Niclas Jansson
2011 ERCOFTAC Series  
, numerical methods, algorithmic strategies and challenging engineering applications.  ...  Numerical Modeling and Simulation is increasingly used as a complement to Experimental Modeling and Analysis and as a design or certification tool in engineering applications.  ...  Simulation: Acknowledgments The authors thank the financial support of FCT Portugal through Unidade de Investigação: 10/225, IDMEC (FEUP) and project PTDC/SAU-BEB/102547/2008, "Blood flow simulation in  ... 
doi:10.1007/978-94-007-0231-8_5 fatcat:f6ll6iawcbeo7pbj4rb7t4o2tq

Particle Swarm Optimization of Multiple-Burn Rendezvous Trajectories

Mauro Pontani, Pradipto Ghosh, Bruce A. Conway
2012 Journal of Guidance Control and Dynamics  
Candidate, Department of Aerospace Engineering; ghosh13@ *Professor, Department of Aerospace Engineering; bconway  ...  Augmented Lagrangian Particle Swarm Optimization for Consrtrained Problems in Engineer- ing,” Structural and Multidisciplinary Optimization, Vol. 32, No. 4, 2006, pp. 277-286. doi: 10.1007/s00158-006-  ... 
doi:10.2514/1.55592 fatcat:c6xvu7ooufegxl6wvxqmmoafla

The Multiple Unmanned Air Vehicle Persistent Surveillance Problem: A Review

Nikhil Nigam
2014 Machines  
In particular, there has been a rising interest in control of multiple vehicles for reasons such as increase in system reliability, robustness, and efficiency, with a possible reduction in cost.  ...  Another aspect of the problem that has been investigated to a lesser extent is the design of the vehicles for particular missions.  ...  We also thank the authors of several papers cited here for all the clarifications required to understand their contributions. Conflicts of Interest The authors declare no conflict of interest.  ... 
doi:10.3390/machines2010013 fatcat:ydi6tcjbnvghbd4ywxghk7avbu

Analysis of Aperture Shape Changing Trend Base on the Shaped Charge Jet Penetration through the Steel Target [chapter]

Junqing Huang, Yalong Ma, Kelei Huang, Jianxun Zhao
2012 Communications in Computer and Information Science  
A design method in this paper concerns the optimal H2 integral servo problems for two-inertia model via the constraints of the derivatives of state variables added to the standard constraints.  ...  This paper presents a high quality 3D CG model of Reizei-ke, and a virtual space built by a 3D game engine.  ...  By applying heuristic search algorithms, such as evolutionary algorithms, it is possible to search for Pareto-optimal solutions without having to evaluate the entire search space.  ... 
doi:10.1007/978-3-642-34384-1_2 fatcat:xvp3o6agk5hxpmbjptnthxiz5m

Steering supply chains from a complex systems perspective

Maisam Abbasi, Liz Varga
2022 European Journal of Management Studies  
are complex systems allows for a better grasp of the effect of positive feedback on change and transformation, and also interactions leading to dynamic equilibria, nonlinearity and the role of inter-organizational  ...  In parallel with data collection, data were analyzed and synthesized.FindingsThe main finding is the introduction of an inductive framework for steering supply chains from a complex systems perspective  ...  form tightly coupled partnerships with other firms for their exchange strategies.  ... 
doi:10.1108/ejms-04-2021-0030 fatcat:xsc4bmuihrh4pagr7xhcynvdku
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