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Littérature scientifique sur le sujet « I/O optimization »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "I/O optimization"

Mukherjee, Manasij, and John Regehr. "Hydra: Generalizing Peephole Optimizations with Program Synthesis." Proceedings of the ACM on Programming Languages 8, OOPSLA1 (2024): 725–53. http://dx.doi.org/10.1145/3649837.

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Optimizing compilers rely on peephole optimizations to simplify combinations of instructions and remove redundant instructions. Typically, a new peephole optimization is added when a compiler developer notices an optimization opportunity---a collection of dependent instructions that can be improved---and manually derives a more general rewrite rule that optimizes not only the original code, but also other, similar collections of instructions. In this paper, we present Hydra, a tool that automates the process of generalizing peephole optimizations using a collection of techniques centered on pr

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Sartoros, Christine, Douglas M. Goltz, and Eric D. Salin. "Program Considerations for Simplex Optimization of Ion Lenses in ICP-MS." Applied Spectroscopy 52, no. 5 (1998): 643–48. http://dx.doi.org/10.1366/0003702981944292.

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The performance of an inductively coupled plasma mass spectrometer (ICP-MS) is dependent on the ion optic bias potentials. A discussion of the multielement optimization of the ICP-MS ion optics bias potentials using a Simplex algorithm is presented. Three objective functions were tested: a function developed by Leary; the combined ratio method (CRM); and the Euclidean distance from multicriteria target vector optimization. Both the Leary and the target vector optimization's performances were comparable, whereas the CRM optimizations placed an emphasis on obtaining similar signal intensities. E

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Nan, Yang. "An Improved Ant Colony Optimization Algorithm Based on Immunization Strategy." Advanced Materials Research 490-495 (March 2012): 66–70. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.66.

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Ant colony optimization has been become a very useful method for combination optimization problems. Based on close connections between combination optimization and continuous optimization, nowadays some scholars have studied to apply ant colony optimization to continuous optimization problems, and proposed some continuous ant colony optimizations. To improve the performance of those continuous ant colony optimizations, here the principles of evolutionary algorithm and artificial immune algorithm have been combined with the typical continuous Ant Colony Optimization, and the adaptive Cauchi mut

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Zhong, Mei Peng. "Parameter Optimization of Compressor Based on an Ant Colony Optimization." Applied Mechanics and Materials 201-202 (October 2012): 916–19. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.916.

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A mathematical model of operation on air compressors is set up in order to improve the efficiency of air compressors. Parameter of Compressor is optimized by an Ant Colony Optimization (ACO) Particle approach. Volume and its weight of the new compressor are little, and its efficiency is high. An Ant Colony Optimization embed BLDCM module which optimizating the air compressor was put forward. Optimizated target of an Ant Colony Optimization is the efficiency of BLDCM. Optimizated variables are the diameter of low pressure cylinder, the diameter of high pressure cylinder, the journey of low pres

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Rajeanderan Revichandran, Jaffar Syed Mohamed Ali, Moumen Idres, and A. K. M. Mohiuddin. "A Review of HVAC System Optimization and Its Effects on Saving Total Energy Utilization of a Building." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 93, no. 1 (2022): 64–82. http://dx.doi.org/10.37934/arfmts.93.1.6482.

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The paper illustrates the review on the optimizations studies of HVAC systems based on three main methods – HVAC operational variables optimization, optimization of control parameters in HVAC system and parameter optimization in building models. For the HVAC system’s operational variables, the optimization process is based on the common and prescient energy utilization models. Thus, by comparing both, the non-common HVAC system models can get better output of energy reduction. Based on most of the studies, the occupancies thermal comfort requirements, are represented by the indoor air quality

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Ren, Xiaolei, Mengfei Ren, Yu Lei, and Jiang Ming. "Revisiting Optimization-Resilience Claims in Binary Diffing Tools: Insights from LLVM Peephole Optimization Analysis." Proceedings of the ACM on Software Engineering 2, FSE (2025): 2689–711. https://doi.org/10.1145/3729389.

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Binary diffing technique aims to identify differences/similarities in executable files without source code access. Its potential applications in various software security tasks, such as vulnerability search, code clone detection, and malware analysis have generated a large body of literature over the past few years. A recurring theme in binary diffing research is to evaluate the resilience against the impact of compiler optimization, which is the most common source leading to syntactic differences in binary code. Despite claims by most binary diffing papers that they are immune to compiler opt

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Zhu, Mingxuan, Zeyu Sun, and Dan Hao. "PDCAT: Preference-Driven Compiler Auto-tuning." Proceedings of the ACM on Software Engineering 2, FSE (2025): 847–67. https://doi.org/10.1145/3715756.

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Compilers are crucial software tools that usually convert programs in high-level languages into machine code. A compiler provides hundreds of optimizations to improve the performance of the compiled code, which are controlled by enabled or disabled optimization flags. However, the vast number of combinations of these flags makes it extremely challenging to select the desired settings for compiler optimization flags (i.e., an optimization sequence) for a given target program. In the literature, many auto-tuning techniques have been proposed to select a desired optimization sequence via differen

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Batay, Sagidolla, Bagdaulet Kamalov, Dinmukhamed Zhangaskanov, et al. "Adjoint-Based High-Fidelity Concurrent Aerodynamic Design Optimization of Wind Turbine." Fluids 8, no. 3 (2023): 85. http://dx.doi.org/10.3390/fluids8030085.

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To evaluate novel turbine designs, the wind energy sector extensively depends on computational fluid dynamics (CFD). To use CFD in the design optimization process, where lower-fidelity approaches such as blade element momentum (BEM) are more popular, new tools to increase the accuracy must be developed as the latest wind turbines are larger and the aerodynamics and structural dynamics become more complex. In the present study, a new concurrent aerodynamic shape optimization approach towards multidisciplinary design optimization (MDO) that uses a Reynolds-averaged Navier–Stokes solver in conjun

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Seth, Ashish. "Regression Test Case Optimization Using Ant Colony Optimization." Journal of Advanced Research in Dynamical and Control Systems 12, no. 3 (2020): 111–18. http://dx.doi.org/10.5373/jardcs/v12i3/20201172.

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Prathyusha, Kosuru. "Performance Optimization in Web Applications." European Journal of Advances in Engineering and Technology 6, no. 8 (2019): 100–104. https://doi.org/10.5281/zenodo.13919484.

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Application performance optimization is an essential process that helps improve the usability of web applications. This document aims to discuss various ways of increasing both the front-end and back-end performance levels. It includes basic front-end optimizations such as lazy loading and caching and back-end optimizations including database indexing and query optimization. By using these methods, developers can increase the effectiveness of work and efficiency of web applications (Ahmed et al., 2016)

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Thèses sur le sujet "I/O optimization"

Pieume, Calice Olivier. "Multiobjective optimization approaches in bilevel optimization." Phd thesis, Université Paris-Est, 2011. http://tel.archives-ouvertes.fr/tel-00665605.

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This thesis addresses two important classes of optimization : multiobjective optimization and bilevel optimization. The investigation concerns their solution methods, applications, and possible links between them. First of all, we develop a procedure for solving Multiple Objective Linear Programming Problems (MOLPP). The method is based on a new characterization of efficient faces. It exploits the connectedness property of the set of ideal tableaux associated to degenerated points in the case of degeneracy. We also develop an approach for solving Bilevel Linear Programming Problems (BLPP). It

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Ruan, Ning. "Global optimization for nonconvex optimization problems." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1936.

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Duality is one of the most successful ideas in modern science [46] [91]. It is essential in natural phenomena, particularly, in physics and mathematics [39] [94] [96]. In this thesis, we consider the canonical duality theory for several classes of optimization problems.The first problem that we consider is a general sum of fourth-order polynomial minimization problem. This problem arises extensively in engineering and science, including database analysis, computational biology, sensor network communications, nonconvex mechanics, and ecology. We first show that this global optimization problem

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Gedin, Sebastian. "Securities settlement optimization using an optimization software solution." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279295.

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Many people have engaged in the trading of stocks and other securities, but few are aware of how the transactions are executed. The process of transferring the ownership of securities, often in exchange for cash, is called securities settlement. If the parties involved in the transaction have the assets that they are obligated to deliver at the time of settlement, securities settlement is straightforward. But if the securities settlement system is faced with a set of transactions, in which some party fails to meet their obligation, some transactions will fail to settle. Since the receiving par

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Sim, Melvyn 1971. "Robust optimization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17725.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004. Includes bibliographical references (p. 169-171). We propose new methodologies in robust optimization that promise greater tractability, both theoretically and practically than the classical robust framework. We cover a broad range of mathematical optimization problems, including linear optimization (LP), quadratic constrained quadratic optimization (QCQP), general conic optimization including second order cone programming (SOCP) and semidefinite optimization (SDP), mixed

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Lopes, David Granja. "Collections Optimization." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/6505.

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Mestrado em Decisão Económica e Empresarial Este trabalho debruça-se sobre a otimização do transporte de componentes automóveis. Começa-se por fazer uma revisão bibliográfica e de seguida um enquadramento da situação a estudar, bem como da empresa onde será aplicado (Volkswagen Autoeuropa). É desenvolvido um modelo matemático que permite identificar as rotas ótimas. O objetivo principal deste trabalho é a identificação de rotas otimizadas que permitam o aumento da eficiência, económica e operacional, da cadeia de abastecimento da Volkswagen Autoeuropa. Os resultados foram bastantes promisso

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Bylund, Johanna. "Collateral Optimization." Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148006.

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Yu, Hao. "Run-time optimization of adaptive irregular applications." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1285.

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Compared to traditional compile-time optimization, run-time optimization could oﬀer signiﬁcant performance improvements when parallelizing and optimizing adaptive irregular applications, because it performs program analysis and adaptive optimizations during program execution. Run-time techniques can succeed where static techniques fail because they exploit the characteristics of input data, programs' dynamic behaviors, and the underneath execution environment. When optimizing adaptive irregular applications for parallel execution, a common observation is that the effectiveness of the optimizin

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Arayapan, Khanittha, and Piyanut Warunyuwong. "Logistics Optimization: Application of Optimization Modeling in Inbound Logistics." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6213.

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To be a market leader, low cost and responsiveness are the key success factors. Logistics activities create high cost reducing competitiveness of the company, especially for the remote production base. Thus, logistics activities which are delivery planning, freight forwarder and delivery mode selection must be optimized. The focusing area of this paper is inbound logistics due to its big proportion in the total cost and involvement with several stakeholders. The optimization theory and Microsoft Excel’s Solver is used to create the standard optimization tools since it is an efficient and

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GOUCHER, DANIEL. "Database optimization : An investigation of code-based optimization techniques." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153754.

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In this report database optimization is investigated with a focus on the area which can be implemented with software rather than hardware.The reason for this specialization is that software optimization is an area that all developers have the resources to implement.To investigate these optimization techniques I have first presented the theory behind different optimization techniques including indices, caching and materialized views. A brief explanation on how these techniques can be implemented in MySQL and PHP is then given. With the help of these theories a set of tests have been designed to

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Aggarwal, Varun. "Analog circuit optimization using evolutionary algorithms and convex optimization." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40525.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (p. 83-88). In this thesis, we analyze state-of-art techniques for analog circuit sizing and compare them on various metrics. We ascertain that a methodology which improves the accuracy of sizing without increasing the run time or the designer effort is a contribution. We argue that the accuracy of geometric programming can be improved without adversely influencing the run time or increasing the designer's effort. This is facilitated by dec

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Livres sur le sujet "I/O optimization"

Lange, Kenneth. Optimization. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5838-8.

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Pearce, Charles, and Emma Hunt, eds. Optimization. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-98096-6.

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Nguyen, Van Hien, Jean-Jacques Strodiot, and Patricia Tossings, eds. Optimization. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57014-8.

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Polak, Elijah. Optimization. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0663-7.

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Miller, Ronald E. Optimization. John Wiley & Sons, Inc., 1999. http://dx.doi.org/10.1002/9781118032930.

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Lange, Kenneth. Optimization. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4182-7.

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Sharer, Elizabeth, and Hari Rajagopalan. Optimization. SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071908082.

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Hua, Luogene. Optimization. Wiley, 1985.

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Open University. Optimization Course Team., ed. Optimization. Open University, 2002.

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University, Open, ed. Optimization. Open University, 2002.

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Chapitres de livres sur le sujet "I/O optimization"

Marwedel, Peter. "Optimization." In Embedded Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60910-8_7.

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AbstractEmbedded systems have to be efficient (at least) with respect to the objectives considered in this book. In particular, this applies to resource-constrained mobile systems, including sensor networks embedded in the Internet of Things. In order to achieve this goal, many optimizations have been developed. Only a small subset of those can be mentioned in this book. In this chapter, we will present a selected set of such optimizations. This chapter is structured as follows: first of all, we will present some high-level optimization techniques, which could precede compilation of source cod

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Serovajsky, Simon. "Additions." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-2.

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Serovajsky, Simon. "Counterexamples of optimal control problems with a fixed final state." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-11.

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Serovajsky, Simon. "Different counterexamples for optimization problems with isoperimetric conditions." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-15.

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Serovajsky, Simon. "Alternative methods." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-4.

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Serovajsky, Simon. "Absence of sufficiency and uniqueness in problems with isoperimetric conditions." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-14.

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Serovajsky, Simon. "Ill-posed optimal control problems with a fixed final state." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-12.

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Serovajsky, Simon. "Optimization of systems with isoperimetric conditions." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-13.

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Serovajsky, Simon. "Different optimal control problems for systems with a free initial state." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-17.

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Serovajsky, Simon. "Singular controls." In Optimization. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003398585-6.

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Actes de conférences sur le sujet "I/O optimization"

Corle, Ethan, Kevin Ferguson, and Sven Schmitz. "Parallel Evolutionary Optimization for Rotorcraft Design." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11396.

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A parallel evolutionary strategy is coupled to a comprehensive analysis tool, RCAS, for rotorcraft optimization and design. The evolutionary structure is based on the Covariance Matrix Adaptation Evolution Strategy, CMA-ES, which has proven to be a viable optimization method for rotorcraft problems. Computational efficiency tests show that for a 8 core optimization, the parallel implementation of CMA-ES, pCMA-ES, can result in a significant speedup over the serial counterpart. The pCMA-ES is applied to two active device optimizations problems. First, a previously conducted uniform inflow optim

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Mani, Karthik, Dimitri Mavriplis, Asitav Mishra, and Jay Sitaraman. "Time-depedent Adjoint-based Aerodynamic Shape Optimization Applied to Helicopter Rotors." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9443.

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A formulation for sensitivity analysis of fully coupled time-dependent aeroelastic problems is given in this paper. Both forward sensitivity and adjoint sensitivity formulations are derived that correspond to analogues of the non-linear aeroelastic analysis problem. Both sensitivity analysis formulations make use of the same iterative disciplinary solution techniques used for analysis, and make use of an analogous coupling strategy. The information passed between fluid and structural solvers is dimensionally equivalent in all cases, enabling the use of the same data structures for analysis, fo

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Krus, Petter, and Johan Andersson. "Optimizing Optimization for Design Optimization." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48803.

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Design optimization is becoming and increasingly important tool for design. In order to have an impact on the product development process it must permeate all levels of the design in such a way that a holistic view is maintained through all stages of the design. One important area is in the case of optimization based on simulation, which generally requires non-gradient methods and as a consequence direct-search methods is a natural choice. The idea in this paper is to use the design optimization approach in the optimization algorithm itself in order to produce an efficient and robust optimizat

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Tang, Zedong, Maoguo Gong, Fenlong Jiang, Hao Li, and Yue Wu. "Multipopulation Optimization for Multitask Optimization." In 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019. http://dx.doi.org/10.1109/cec.2019.8790234.

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Gu, Xiaoyu, John E. Renaud, Leah M. Ashe, Stephen M. Batill, Amarjit S. Budhiraja, and Lee J. Krajewski. "Decision-Based Collaborative Optimization Under Uncertainty." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14297.

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Abstract In this research a Collaborative Optimization (CO) approach for multidisciplinary systems design is used to develop a decision based design framework for non-deterministic optimization. To date CO strategies have been developed for use in application to deterministic systems design problems. In this research the decision based design (DBD) framework proposed by Hazelrigg (1996a, 1998) is modified for use in a collaborative optimization framework. The Hazelrigg framework as originally proposed provides a single level optimization strategy that combines engineering decisions with busine

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Jian Jiao, Xianjia Wang, and Liubo Zhang. "Applying particle swarm optimization in multiobjective optimization and hybrid optimization." In 2010 Second International Conference on Computational Intelligence and Natural Computing (CINC). IEEE, 2010. http://dx.doi.org/10.1109/cinc.2010.5643832.

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Akpamukcu, Mehmet, and Abdullah Ate. "Improving Equlibrium Optimization Algorithm Performance with Optimization to Optimization Approach." In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2022. http://dx.doi.org/10.1109/asyu56188.2022.9925491.

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Sirkis, L., M. Biglu, M. Hall, F. Moreno, S. Housner, and E. Lozon. "Floating Offshore Wind Farm Array Optimization Considering Mooring Lines, Anchors, and Array Cables." In Offshore Technology Conference. OTC, 2025. https://doi.org/10.4043/35814-ms.

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Abstract Offshore wind presents an opportunity to increase the domestic energy supply in the United States, but cost reductions are needed. To minimize the levelized cost of energy, we developed an optimization toolset for array design, considering layout, wake effects, mooring design, anchor selection, and cable routing. Real-world data, including lease area shapes, bathymetry, and seabed and metocean conditions, are used to inform the model. Our design optimization couples the optimizer with MoorPy for mooring systems, algorithms for cable routing and sizing, FLORIS for wake effects and annu

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Guo, Zhendong, Wei Sun, Liming Song, Jun Li, and Zhenping Feng. "Generative Transfer Optimization for Aerodynamic Design." In GPPS Xi'an21. GPPS, 2022. http://dx.doi.org/10.33737/gpps21-tc-225.

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Transfer optimization, one type of optimization methods, which leverages knowledge of the completed tasks to accelerate the design progress of a new task, has been in widespread use in machine learning community. However, when applying transfer optimization to accelerate the progress of aerodynamic shape optimization (ASO), two challenges are encountered in sequence, that is, (1) how to build a shared design space among the related aerodynamic design tasks, and (2) how to exchange information between tasks most efficiently. To address the first challenge, a datadriven generative model is used

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Clapp, Russell M., and Trevor Mudge. "Optimization." In the working group. ACM Press, 1990. http://dx.doi.org/10.1145/322807.322845.

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Rapports d'organisations sur le sujet "I/O optimization"

Dunlavy, Daniel M., and Dianne P. O'Leary. Homotopy optimization methods for global optimization. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/876373.

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Zirilli, Francesco, and Luciano Misici. Numerical Optimization. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198586.

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Bilbro, Griff. Quantum Optimization. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384604.

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Wenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel, and Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46261.

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In this paper, an automated framework is presented to perform helicopter rotor blade planform optimization. This framework contains three elements, Dakota, ParBlade, and RCAS. These elements are integrated into an environment control tool, Galaxy Simulation Builder, which is used to carry out the optimization. The main objective of this work is to conduct rotor performance design optimizations for forward flight and hover. The blade design variables manipulated by ParBlade are twist, sweep, and anhedral. The multi-objective genetic algorithm method is used in this study to search for the optim

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Apostolatos, A., B. Keith, C. Soriano, and R. Rossi. D6.1 Deterministic optimization software. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.018.

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This deliverable focuses on the implementation of deterministic optimization algorithms and problem solvers within KRATOS open-source software. One of the main challenges of optimization algorithms in Finite-Element based optimization is how to get the gradient of response functions which are used as objective and constraints when this is not available in an explicit form. The idea is to use local sensitivity analysis to get the gradient of the response function(s)

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Weiland, Lisa M. Nanoscale Transport Optimization. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada500838.

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Gearhart, Jared Lee, Kristin Lynn Adair, Katherine A. Jones, et al. Contingency contractor optimization. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1104778.

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Hahn, H. RHIC Luminosity Optimization. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/1119051.

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Youker, A. J., P. Chung, E. Krahn, and G. F. Vandegrift. Column Optimization Studies. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1131388.

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