Relevant bibliographies by topics / Design space optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Design space optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Design space optimization"

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Jang, In Gwun, and Byung Man Kwak. "Design space optimization using design space adjustment and refinement." Structural and Multidisciplinary Optimization 35, no. 1 (2007): 41–54. http://dx.doi.org/10.1007/s00158-007-0112-8.

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Kim, G. J., and S. Szykman. "Combining Interactive Exploration and Optimization for Assembly Design." Journal of Mechanical Design 120, no. 1 (1998): 24–31. http://dx.doi.org/10.1115/1.2826671.

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This paper presents an integrated framework for conceptual assembly design. Because the complexity of assembly design leads to extremely large design spaces, adequate support of design space exploration is a key issue that must be addressed. CAMF allows the designer to manage the overall design process and explore the design space through explicit representation of design stages and their relationships (history), assembly design constraints, and rationale. The designer is free to use both bottom-up or top-down approaches to explore different assembly configurations. Exploration of the design s
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Jooya, Ali, Nikitas Dimopoulos, and Amirali Baniasadi. "Multiobjective GPU design space exploration optimization." Microprocessors and Microsystems 69 (September 2019): 198–210. http://dx.doi.org/10.1016/j.micpro.2019.06.001.

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Sieger, Daniel, Stefan Menzel, and Mario Botsch. "Constrained Space Deformation for Design Optimization." Procedia Engineering 82 (2014): 114–26. http://dx.doi.org/10.1016/j.proeng.2014.10.377.

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Wu, Zeping, Donghui Wang, Wenjie Wang, Kun Zhao, Patrick N. Okolo, and Weihua Zhang. "Space-filling experimental designs for constrained design spaces." Engineering Optimization 51, no. 9 (2018): 1495–508. http://dx.doi.org/10.1080/0305215x.2018.1542691.

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Gendy, A. S., S. N. Patnaik, D. A. Hopkins, and L. Berke. "Design optimization of a spacer structure for Space Station Freedom." Computers & Structures 54, no. 2 (1995): 355–63. http://dx.doi.org/10.1016/0045-7949(94)e0219-r.

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Kim, Il Yong, and Byung Man Kwak. "Design space optimization using a numerical design continuation method." International Journal for Numerical Methods in Engineering 53, no. 8 (2002): 1979–2002. http://dx.doi.org/10.1002/nme.369.

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Xue, Mingxi. "Optimization and Design of Integrated Space Target." Open Electrical & Electronic Engineering Journal 11, no. 1 (2017): 125–40. http://dx.doi.org/10.2174/1874129001711010125.

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Background & Objective: The design and optimization of laser detection system based on MEMS (Micro-electro Mechanical Systems) scanning mirror is presented in the paper. According to requirements of application, it adopts the laser module to design the laser driver circuit, and the designed modulation circuit can satisfy the actual needs. Method: The designed information processing module is composed of the echo receiving module, signal amplification and filter circuit module, and the synchronous circuit of measuring angle and distance, etc. Conclusion: It gives out the distance decoding m
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Yan, Xue Song, Qing Hua Wu, Cheng Yu Hu, and Qing Zhong Liang. "Research of Space Electronic Circuit Optimization Design." Applied Mechanics and Materials 48-49 (February 2011): 932–36. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.932.

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During the space electronic system in carries out the exploratory mission in the deep space, it maybe faced with kinds of violent natural environment, to electric circuit's performance, the volume, the weight and the stability proposed a higher request, the traditional circuit design method already more and more with difficulty satisfied this kind of request. The traditional circuit design method already more and more with difficulty satisfied this kind of request. But unifies the programmable component and the evolutionary algorithms hardware may the dynamic change hardware's structure adapt
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Coffeen, Jeremy, Frederic Jacquelin, Richard Kepple, et al. "Georgia Aquarium Design Space Analysis and Optimization." Procedia Computer Science 44 (2015): 125–34. http://dx.doi.org/10.1016/j.procs.2015.03.001.

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Dissertations / Theses on the topic "Design space optimization"

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Nguyen, Thu Ngoc 1967. "Design optimization of a space truss structure." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/46133.

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Kaveh, Mohammad. "Topological optimization of rigidly jointed space frames." Thesis, Cardiff University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238227.

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Jones, Adam. "Design Space Exploration and Optimization Using Modern Ship Design Tools." Thesis, Monterey, California. Naval Postgraduate School, 2014. http://hdl.handle.net/10945/43072.

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CIVINS<br>Modern Naval Architects use a variety of computer design tools to explore feasi- ble options for clean sheet ship designs. Under the Naval Sea Systems Command (NAVSEA), the Naval Surface Warfare Center, Carderock Division (NSWCCD) has created computer tools for ship design and analysis purposes. This paper presents an overview of some of these tools, speci cally the Advanced Ship and Submarine Evaluation Tool (ASSET) version 6.3 and the Integrated Hull Design Environment (IHDE). This paper provides a detailed explanation of a ship design using these ad- vanced tools and presen
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Jones, Adam T. (Adam Thomas). "Design space exploration and optimization using modern ship design tools." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92124.

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Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2014.<br>Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 163-164).<br>Modern Naval Architects use a variety of computer design tools to explore feasible options for clean sheet ship designs. Under the Naval Sea Systems Command (NAVSEA), the Naval Surface Warfare Center, Carderock Division (NSWCCD) has created computer tools for ship design and analysis purposes. This paper pr
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Stewart, Andrzej Matthew. "Design and optimization of lightweight space telescope structures." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39709.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007.<br>Includes bibliographical references (p. 137-140).<br>As mankind attempts to look deeper into the universe, increasingly larger space telescopes will be needed to achieve the levels of resolution required to perform these missions. Due to this increase in size, increasing emphasis will be placed on designing lightweight, efficient structures in order to reduce structural mass and minimize launch costs. This thesis discusses several issues related to the design of lightweight space telescopes. T
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Miller, Andrew Scott. "Compressor conceptual design optimization." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53598.

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Gas turbine engines are conceptually designed using performance maps that describe the compressor’s effect on the cycle. During the traditional design process, the cycle designer selects a compressor design point based on criteria to meet cycle design point requirements, and performance maps are found or created for off-design analysis that meet this design point selection. Although the maps always have a pedigree to an existing compressor design, oftentimes these maps are scaled to account for design or technology changes. Scaling practices disconnect the maps from the geometry and flow assoc
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Mueller, Caitlin T. "High-dimensional design space visualization for conceptual structural design." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90083.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 63-66).<br>This thesis focuses on visualizing high-dimensional design spaces for early-stage design problems in structural engineering and related disciplines. The design space, which is defined as the n + 1-dimensional surface that relates n design variables to a performance metric, contains all possible solutions to a formulated design problem. Graphical views of the design space are highly useful fo
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Rabbah, Rodric Michel. "Design Space Exploration and Optimization of Embedded Memory Systems." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11605.

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Recent years have witnessed the emergence of microprocessors that are embedded within a plethora of devices used in everyday life. Embedded architectures are customized through a meticulous and time consuming design process to satisfy stringent constraints with respect to performance, area, power, and cost. In embedded systems, the cost of the memory hierarchy limits its ability to play as central a role. This is due to stringent constraints that fundamentally limit the physical size and complexity of the memory system. Ultimately, application developers and system engineers are charged with t
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Curtis, Shane Keawe. "A Method for Exploring Optimization Formulation Space in Conceptual Design." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3213.

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Formulation space exploration is a new strategy for multiobjective optimization that facilitates both divergent searching and convergent optimization during the early stages of design. The formulation space is the union of all variable and design objective spaces identified by the designer as being valid and pragmatic problem formulations. By extending a computational search into the formulation space, the solution to an optimization problem is no longer predefined by any single problem formulation, as it is with traditional optimization methods. Instead, a designer is free to change, modify,
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Wagner, Katherine Mott. "Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99338.

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This research describes the development and application of the Disaggregated Integral Systems Concept Optimization Technology (DISCO-Tech) methodology. DISCO-Tech is a modular space system design tool that focuses on the optimization of disaggregated and non-traditional space systems. It uses a variable-length genetic algorithm to simultaneously optimize orbital parameters, payload parameters, and payload distribution for space systems. The solutions produced by the genetic algorithm are evaluated using cost estimation, coverage analysis, and spacecraft sizing modules. A set of validation case
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Books on the topic "Design space optimization"

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Weldon, Vincent. Design optimization of gas generator hybrid propulsion boosters. National Aeronautics and Space Administration, 1990.

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Gendy, Atef S. Preliminary analysis and design optimization of the short spacer truss of Space Station Freedom. Lewis Research Center, 1993.

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James, Benjamin B. Multidisciplinary optimization of a controlled space structure using 150 design variables. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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James, Benjamin B. Multidisciplinary optimization of a controlled space structure using 150 design variables. Langley Research Center, 1992.

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Mog, R. A. Global nonlinear optimization of spacecraft protective structures design. National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1990.

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Romanovich, Statnikov Alexander, ed. The parameter space investigation method toolkit. Artech House, 2011.

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N, Krasilʹshchikov M., and Karlov V. I, eds. Optimization of observation and control processes. American Institute of Aeronautics and Astronautics, 1992.

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Chai, Runqi, Al Savvaris, Antonios Tsourdos, and Senchun Chai. Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9845-2.

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Maghami, Peiman G. An optimization-based integrated controls-structures design methodology for flexible space structures. Langley Research Center, 1993.

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Barthelemy, Jean-Francois M. Structural optimization of an alternate design for the space shuttle solid rocket booster field joint. National Aeronautics and Space Administration, Langley Research Center, 1987.

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Book chapters on the topic "Design space optimization"

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Kneppe, G., and H. Baier. "Aircraft and Space Technology." In Multicriteria Design Optimization. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-48697-5_6.

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Heuvelink, Gerard B. M., Daniel A. Griffith, Tomislav Hengl, and Stephanie J. Melles. "Sampling Design Optimization for Space-Time Kriging." In Spatio-Temporal Design. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118441862.ch9.

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Bandler, John W., Radek M. Biernacki, Shaohua Chen, Ronald H. Hemmers, and Kaj Madsen. "Space Mapping Optimization for Engineering Design." In Large-Scale Optimization with Applications. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1962-0_1.

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Panerati, Jacopo, Donatella Sciuto, and Giovanni Beltrame. "Optimization Strategies in Design Space Exploration." In Handbook of Hardware/Software Codesign. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-017-7267-9_7.

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Panerati, Jacopo, Donatella Sciuto, and Giovanni Beltrame. "Optimization Strategies in Design Space Exploration." In Handbook of Hardware/Software Codesign. Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7358-4_7-1.

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Vasile, Massimiliano, and Nicolas Croisard. "Robust Preliminary Space Mission Design under Uncertainty." In Computational Intelligence in Expensive Optimization Problems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10701-6_21.

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Arias Montaño, Alfredo, Carlos A. Coello Coello, and Oliver Schütze. "Multiobjective Optimization for Space Mission Design Problems." In Computational Intelligence in Aerospace Sciences. American Institute of Aeronautics and Astronautics, Inc., 2014. http://dx.doi.org/10.2514/5.9781624102714.0001.0046.

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Koziel, Slawomir, Leifur Leifsson, and Stanislav Ogurtsov. "Space Mapping for Electromagnetic-Simulation-Driven Design Optimization." In Surrogate-Based Modeling and Optimization. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7551-4_1.

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Collange, Guillaume, Nathalie Delattre, Nikolaus Hansen, Isabelle Quinquis, and Marc Schoenauer. "Multidisciplinary Optimization in the Design of Future Space Launchers." In Multidisciplinary Design Optimization in Computational Mechanics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118600153.ch12.

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Aguirre, Hernán, Kiyoshi Tanaka, Tea Tušar, and Bogdan Filipič. "Optimization and Visualization in Many-Objective Space Trajectory Design." In High-Performance Simulation-Based Optimization. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18764-4_5.

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Conference papers on the topic "Design space optimization"

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Pereira, Rui, Kevin Cummiskey, and Rex Kincaid. "Office space allocation optimization." In 2010 IEEE Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2010. http://dx.doi.org/10.1109/sieds.2010.5469670.

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Bhungalia, Amarshi, Timithy Fry, Daniel Tejtel, and Jess Sponable. "Thermal Protection System (TPS) Design and Optimization - A Case Study." In Space 2005. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-6809.

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Tournier, Jean-Michel. "Design Optimization of High-Power, Liquid Anode AMTEC." In SPACE TECHNOLOGY AND APPLICATIONS INT.FORUM-STAIF 2003: Conf.on Thermophysics in Microgravity; Commercial/Civil Next Generation Space Transportation; Human Space Exploration; Symps.on Space Nuclear Power and Propulsion (20th); Space Colonization (1st). AIP, 2003. http://dx.doi.org/10.1063/1.1541362.

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Zhu, Jiang, John Bandler, Natalia Nikolova, and Slawomir Koziel. "Antenna Design through Space Mapping Optimization." In 2006 IEEE MTT-S International Microwave Symposium Digest. IEEE, 2006. http://dx.doi.org/10.1109/mwsym.2006.249643.

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Jooya, Ali, Nikitas Dimopoulos, and Amirali Baniasadi. "MultiObjective GPU design space exploration optimization." In 2016 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2016. http://dx.doi.org/10.1109/hpcsim.2016.7568398.

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Wang, Fucheng, Chenyu Chen, and Jing Ji. "Highly Optimization Design of Structure Space." In 2nd International Conference on Electronic and Mechanical Engineering and Information Technology. Atlantis Press, 2012. http://dx.doi.org/10.2991/emeit.2012.143.

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Zhang, Fang, and Xin Liu. "Rectenna Design with Space Mapping Optimization." In 6th International Conference on Electronic, Mechanical, Information and Management Society. Atlantis Press, 2016. http://dx.doi.org/10.2991/emim-16.2016.89.

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Shin, Choong-Soo, Kwon-Hee Lee, and Gyung-Jin Park. "Robust structural optimization using design axioms in a discrete design space." In 8th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4808.

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Gablonsky, Joerg. "Computing Architectures for Design Space Exploration Methods." In 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-5958.

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Kim, Gerard Jounghyun, and Simon Szykman. "Combining Interactive Exploration and Optimization for Assembly Design." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dac-1482.

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Abstract This paper presents an integrated framework for assembly design. The framework allows the designer to represent knowledge about the design process and constraints, as well as information about the artifact being designed, design history and rationale. Because the complexity of assembly design leads to extremely large design spaces, adequately supporting design space exploration is a key issue that must be addressed. This is achieved in part by allowing the designer to use both top-down and bottom-up approaches to assembly design. Exploration of the design space is further enabled by i
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Reports on the topic "Design space optimization"

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Jones, Adam. Design Space Exploration and Optimization Using Modern Ship Design Tools. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada609436.

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Polak, Elijah, Karl S. Pister, and Robert L. Taylor. An Integrated, Optimization-Based Approach to the Design and Control of Large Space Structures. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada179459.

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Schock, Alfred, Meera Mukunda, and G. Summers. Analysis, Optimization, and Assessment of Radioisotope Thermophotovoltaic System Design for an Illustrative Space Mission. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/1034425.

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Schock, Alfred, Meera Mukunda, Chuen T. Or, Vasanth Kumar, and G. Summers. Design, Analysis, and Optimization of a Radioisotope Thermophotovoltaic (RTPV) Generator, and its Applicability to an Illustrative Space Mission. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/1033365.

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Qi, Fei, Zhaohui Xia, Gaoyang Tang, et al. A Graph-based Evolutionary Algorithm for Automated Machine Learning. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i2.77.

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As an emerging field, Automated Machine Learning (AutoML) aims to reduce or eliminate manual operations that require expertise in machine learning. In this paper, a graph-based architecture is employed to represent flexible combinations of ML models, which provides a large searching space compared to tree-based and stacking-based architectures. Based on this, an evolutionary algorithm is proposed to search for the best architecture, where the mutation and heredity operators are the key for architecture evolution. With Bayesian hyper-parameter optimization, the proposed approach can automate th
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Badia, R., J. Ejarque, S. Böhm, C. Soriano, and R. Rossi. D4.4 API and runtime (complete with documentation and basic unit testing) for IO employing fast local storage. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.9.001.

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This deliverable presents the activities performed on the ExaQUte project task 4.5 Development of interface to fast local storage. The activities have been focused in two aspects: reduction of the storage space used by applications and design and implementation of an interface that optimizes the use of fast local storage by MPI simulations involved in the project applications. In the rst case, for one of the environments involved in the project (PyCOMPSs) the default behavior is to keep all intermediate les until the end of the execution, in case these les are reused later by any additional ta
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Edwards, Phillip T., Philip R. Fittante, Tony DeLiberato, Steven P. Snyder, and Thomas W. Yarger. Limited Handling Qualities Evaluation of Augmented Longitudinal Flight Control Systems Designed with State-Space Optimization Techniques (HAVE INFINITY). Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada325252.

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Forsberg, Jonathan A. Optimization of Soft Tissue Management, Spacer Design, and Grafting Strategies For Large Segmental Bone Defects Using The Chronic Caprine Tibial Defect Model. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613641.

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Pluhar, Grace. Optimization of Soft Tissue Management, Spacer Design, and Grafting Strategies for Large Segmental Bone Defects using the Chronic Caprine Tibial Defect Model. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613146.

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