Relevant bibliographies by topics / Benchmark problems

Contents

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

Academic literature on the topic 'Benchmark problems'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Benchmark problems"

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Lee, Ho Min, Donghwi Jung, Ali Sadollah, Do Guen Yoo, and Joong Hoon Kim. "Generation of Benchmark Problems for Optimal Design of Water Distribution Systems." Water 11, no. 8 (2019): 1637. http://dx.doi.org/10.3390/w11081637.

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Engineering benchmark problems with specific characteristics have been used to compare the performance and reliability of metaheuristic algorithms, and water distribution system design benchmarks are also widely used. However, only a few benchmark design problems have been considered in the research community. Due to the limited set of previous benchmarks, it is challenging to identify the algorithm with the best performance and the highest reliability among a group of algorithms. Therefore, in this study, a new water distribution system design benchmark problem generation method is proposed c
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Connolly, Kevin John, Farzad Rahnema, and Pavel V. Tsvetkov. "Prismatic VHTR neutronic benchmark problems." Nuclear Engineering and Design 285 (April 2015): 207–40. http://dx.doi.org/10.1016/j.nucengdes.2014.11.044.

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Elser, Veit, Ti-Yen Lan, and Tamir Bendory. "Benchmark Problems for Phase Retrieval." SIAM Journal on Imaging Sciences 11, no. 4 (2018): 2429–55. http://dx.doi.org/10.1137/18m1170364.

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Schiehlen, Werner. "Benchmark problems from vehicle dynamics." Journal of Mechanical Science and Technology 29, no. 7 (2015): 2601–6. http://dx.doi.org/10.1007/s12206-015-0504-4.

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Aubry, Jean-Francois, Oscar Bates, Christian Boehm, et al. "Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models." Journal of the Acoustical Society of America 152, no. 2 (2022): 1003–19. http://dx.doi.org/10.1121/10.0013426.

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Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar b
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Wu, W., D. Montiel, J. E. Guyer, et al. "Phase field benchmark problems for nucleation." Computational Materials Science 193 (June 2021): 110371. http://dx.doi.org/10.1016/j.commatsci.2021.110371.

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Sroka, Jan, and Jacek Starzyński. "BENCHMARK TESTS FOR OPEN BOUNDARY PROBLEMS." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 11, no. 1 (1992): 81–84. http://dx.doi.org/10.1108/eb051757.

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PORTER, MICHAEL B., and A. TOLSTOY. "THE MATCHED FIELD PROCESSING BENCHMARK PROBLEMS." Journal of Computational Acoustics 02, no. 03 (1994): 161–85. http://dx.doi.org/10.1142/s0218396x94000129.

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In matched field processing sophisticated acoustic models are combined with signal processing techniques to localize an acoustic source in the ocean. A key challenge has been to develop schemes that work not just in idealized simulations but in realistic scenarios. Additionally it has been difficult to get a sense of the relative merits of different schemes: there has been no common set of problems to test the techniques. To assess the state of the art, a workshop was held in May 1993 at the Naval Research Laboratory where both simulated and experimental data were provided to the community of
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Collins, Michael D., Finn B. Jensen, Peter L. Nielsen, Mario Zampolli, Henrik Schmidt, and William L. Siegmann. "Range‐dependent seismo‐acoustics benchmark problems." Journal of the Acoustical Society of America 118, no. 3 (2005): 1970. http://dx.doi.org/10.1121/1.4781734.

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Wie, Bong, and Dennis S. Bernstein. "Benchmark problems for robust control design." Journal of Guidance, Control, and Dynamics 15, no. 5 (1992): 1057–59. http://dx.doi.org/10.2514/3.20949.

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Dissertations / Theses on the topic "Benchmark problems"

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CASSADER, Marco. "Benchmark Tracking Portfolio Problems with Stochastic Ordering Constraints." Doctoral thesis, Università degli studi di Bergamo, 2015. http://hdl.handle.net/10446/62374.

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This work debates several approaches to solve the benchmark tracking problems and introduces different orders of stochastic dominance constraints in the decisional process. Portfolio managers usually address with the problem to compare their performance with a given benchmark. In this work, we propose different solutions for index tracking, enhanced indexation and active managing strategies. Firstly, we introduce a linear measure to deal with the passive strategy problem analyzing its impact in the index tracking formulation. This measure results to be not only theoretically suitable but also
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Maqsood, Shahid. "The scheduling of manufacturing systems using Artificial Intelligence (AI) techniques in order to find optimal/near-optimal solutions." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/6322.

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This thesis aims to review and analyze the scheduling problem in general and Job Shop Scheduling Problem (JSSP) in particular and the solution techniques applied to these problems. The JSSP is the most general and popular hard combinational optimization problem in manufacturing systems. For the past sixty years, an enormous amount of research has been carried out to solve these problems. The literature review showed the inherent shortcomings of solutions to scheduling problems. This has directed researchers to develop hybrid approaches, as no single technique for scheduling has yet been succes
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Anette, Kniberg, and David Nokto. "A Benchmark of Prevalent Feature Selection Algorithms on a Diverse Set of Classification Problems." Thesis, KTH, Medicinteknik och hälsosystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-228614.

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Feature selection is the process of automatically selecting important features from data. It is an essential part of machine learning, artificial intelligence, data mining, and modelling in general. There are many feature selection algorithms available and the appropriate choice can be difficult. The aim of this thesis was to compare feature selection algorithms in order to provide an experimental basis for which algorithm to choose. The first phase involved assessing which algorithms are most common in the scientific community, through a systematic literature study in the two largest referenc
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Yang, Wenjing. "Parallel computer simulation of highly nonlinear dynamics of polymer solutions in benchmark flow problems." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/parallel-computer-simulation-of-highly-nonlinear-dynamics-of-polymer-solutions-in-benchmark-flow-problems(5d028140-2ea3-4b71-a335-f7424f04adb2).html.

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Simulation of viscoelastic fluid flows in complex geometry at high Weissenburg (Wi) number is still a challenging problem in computational rheology. In this thesis, parallel computing toolbox available in OpenFOAM has been analysed in details. The scalability of parallel viscoelastic flow solver has been critically evaluated under benchmark flow problems, including 2D and 3D 4:1 contraction flow, 2D flow past a cylinder with 50% blockage, using up to 4096 CPU cores and 55 million computational grids. Areas for further improvements in parallel computational rheology are discussed. A new monitor
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Conte, Francesco. "A general purpose algorithm for a class of vehicle routing problems: A benchmark analysis on literature instances." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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The aim of this work is to analyse the computational performances of a general-purpose heuristic capable of solving a large class of Vehicle Routing Problems. The general Ruin and Recreate (R&R) framework of the algorithm is discussed, with particular attention on some of the removal and insertion operators used in the implementation. The benchmark analysis is then performed using standard benchmark instances of three different routing problems. Before analyzing the algorithm, a definition of the problem is provided together with some mathematical formulations. Exact methods are briefly discu
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Forget, Benoit. "A Three Dimensional Heterogeneous Coarse Mesh Transport Method for Reactor Calculations." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/16257.

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Current advancements in nuclear reactor core design are pushing reactor cores towards greater heterogeneity in an attempt to make nuclear power more sustainable in terms of fuel utilization and long-term disposal needs. These new designs are now being limited by the accuracy of the core simulators/methods. Increasing attention has been given to full core transport as the flux module in future core simulators. However, the current transport methods, due to their significant memory and computational time requirements, are not practical for whole core calculations. While most researchers are w
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Satterfield, Megan E. "Application of a heterogeneous coarse-mesh transport method (COMET) to radiation therapy problems." Thesis, Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-11192006-213749/.

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Helbig, Marde. "Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/28161.

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Most optimisation problems in everyday life are not static in nature, have multiple objectives and at least two of the objectives are in conflict with one another. However, most research focusses on either static multi-objective optimisation (MOO) or dynamic singleobjective optimisation (DSOO). Furthermore, most research on dynamic multi-objective optimisation (DMOO) focusses on evolutionary algorithms (EAs) and only a few particle swarm optimisation (PSO) algorithms exist. This thesis proposes a multi-swarm PSO algorithm, dynamic Vector Evaluated Particle Swarm Optimisation (DVEPSO), to solve
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Marek, Martin. "Toolbox pro vícekriteriální optimalizační problémy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240999.

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This paper deals with multi-objective optimization problems (MOOP). It is explained, what solutions in multi-objetive search space are optimal and how are optimal (non-dominated) solutions found in the set of feasible solutions. Afterwards, principles of NSGA-II, MOPSO and GDE3 algorithms are described. In the following chapters, benchmark metrics and problems are introduced. In the last part of this paper, all the three algorithms are compared based on several benchmark metrics.
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Němeček, Patrik. "Optimalizační úlohy na bázi částicových hejn (PSO)." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236036.

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This work deals with particle swarm optimization. The theoretic part briefly describes the problem of optimization. The considerable part focuses on the overall description of particle swarm optimization (PSO). The principle, behavior, parameters, structure and modifications of PSO are described. The next part of the work is a recherché of variants of PSO, including hybridizations of PSO. In practical part the dynamic problems are analyzed and new designed algorithm for dynamic problems AHPSO is described (what it is based on, what was inspired, what elements are used and why). Algorithm is ex
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Books on the topic "Benchmark problems"

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Laboratory, Brookhaven National, and U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research., eds. PWR and BWR pressure vessel fluence calculation benchmark problems and solutions. U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2001.

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United States. National Aeronautics and Space Administration., ed. Evaluation of a high-accuracy MacCormack type scheme using benchmark problems. National Aeronautics and Space Administration, 1997.

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P, Bezler, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering., and Brookhaven National Laboratory, eds. Piping benchmark problems for the General Electric advanced boiling water reactor. Division of Engineering, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, 1993.

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United States. National Aeronautics and Space Administration., ed. Evaluation of a high-accuracy MacCormack type scheme using benchmark problems. National Aeronautics and Space Administration, 1997.

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United States. National Aeronautics and Space Administration., ed. Evaluation of a high-accuracy MacCormack type scheme using benchmark problems. National Aeronautics and Space Administration, 1997.

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Bedard, Jean-Paul. Beyond the textbook: Photocopiable activities for Canadian Language Benchmark levels 5-8. Toronto Catholic District School Board, 2000.

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Whitby, Norman. Business benchmark.: BULATS edition : student's book. Cambridge University Press, 2006.

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W, Townsend Lawrence, Wilson J. W, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Benchmark solutions for the galactic ion transport equations: Energy and spatially dependent problems. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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Knowles, N. C. A review of benchmark problems for geometric nonlinear behaviour of 30 beams and shells. NAFEMS, 1990.

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Bedard, Jean-Paul. Beyond the textbook III: Theme-based lessons with photocopiable activities for Canadian Language Benchmark levels 5-8. Toronto Catholic District School Board, Continuing Education Department, Adult Education Program, 2003.

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Book chapters on the topic "Benchmark problems"

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Madenci, Erdogan, and Erkan Oterkus. "Benchmark Problems." In Peridynamic Theory and Its Applications. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8465-3_8.

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Husmeier, Dirk. "Benchmark Problems." In Neural Networks for Conditional Probability Estimation. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0847-4_4.

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Geers, Thomas L. "Benchmark Problems." In Fluid Mechanics and Its Applications. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9095-2_1.

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Gandomi, Amir Hossein, and Xin-She Yang. "Benchmark Problems in Structural Optimization." In Computational Optimization, Methods and Algorithms. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20859-1_12.

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Madhekar, Suhasini, and Vasant Matsagar. "Introduction to Benchmark Control Problems." In Passive Vibration Control of Structures. CRC Press, 2022. http://dx.doi.org/10.1201/9781315269269-11.

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Kolisch, Rainer, Christoph Schwindt, and Arno Sprecher. "Benchmark Instances for Project Scheduling Problems." In Project Scheduling. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5533-9_9.

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Schulz, H., O. Steinbach, and W. L. Wendland. "Benchmark Problems for Boundary Element Methods." In Boundary Element Topics. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60791-2_23.

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Sabbagh, Harold A., and Stephen K. Burke. "Benchmark Problems in Eddy-Current NDE." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3344-3_27.

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Schweiger, H. F. "Results from Two Geotechnical Benchmark Problems." In Application of Numerical Methods to Geotechnical Problems. Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-2512-0_62.

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Lifschitz, Vladimir. "Benchmark problems for formal nonmonotonic reasoning." In Non-Monotonic Reasoning. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-50701-9_29.

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Conference papers on the topic "Benchmark problems"

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Xue, Xiaoming, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, and Kay Chen Tan. "Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10612043.

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Wang, Hongxuan, and Andrew Allman. "A Novel Objective Reduction Algorithm for Nonlinear Many-Objective Optimization Problems." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.108915.

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Sustainability is increasingly recognized as a critical global issue. Multi-objective optimization is an important approach for sustainable decision-making, but problems with four or more objectives are hard to interpret due to its high dimensions. In our group�s previous work, an algorithm capable of systematically reducing objective dimensionality for (mixed integer) linear Problem has been developed. In this work, we will extend the algorithm to tackle nonlinear many-objective problems. An outer approximation-like method is employed to systematically replace nonlinear objectives and constra
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Udpa, S. S. "Modeling of benchmark problems." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2002. http://dx.doi.org/10.1063/1.1473023.

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Kowalewski, Tomasz A., Andrzej Cybulski, and Tomasz Michalek. "Experimental benchmark for casting problems." In International Heat Transfer Conference 12. Begellhouse, 2002. http://dx.doi.org/10.1615/ihtc12.3580.

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Schmerr, Lester W. "Ultrasonic modeling of benchmark problems." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2002. http://dx.doi.org/10.1063/1.1473029.

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Schmerr, Lester W., Ruiju Huang, Donald O. Thompson, and Dale E. Chimenti. "MODELING THE 2008 ULTRASONIC BENCHMARK PROBLEMS." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Proceedings of the 35th Annual Review of Progress in Quantitative Nondestructive Evaluation. AIP, 2009. http://dx.doi.org/10.1063/1.3114199.

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Wie, Bong, and Dennis S. Bernstein. "Benchmark Problems for Robust Control Design." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791727.

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Allada, Venkat, Abhijit K. Choudhury, Padmavathi K. Pakala, Timothy W. Simpson, Michael J. Scott, and Somasundaram Valliyappan. "Product Platform Problem Taxonomy: Classification and Identification of Benchmark Problems." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99573.

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Many companies are using product platform concepts to gain economies of scale and to identify new market opportunities. Though the area of product platforming continues to be actively investigated by both industry and academia, there is no comprehensive classification scheme that can provide a clear picture of the existing problems and possible future research directions. Hence, in the present paper, we introduce a broad taxonomy that classifies product platform problems based on the product development stages. This can serve as a basis to: (1) Extract and categorize problems from research lit
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Smith, Mike C., Steve Bate, and P. John Bouchard. "Simple Benchmark Problems for Finite Element Weld Residual Stress Simulation." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-98033.

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Finite element methods are used increasingly to predict weld residual stresses. This is a relatively complex use of the finite element method, and it is important that its practitioners are able to demonstrate their ability to produce accurate predictions. Extensively characterised benchmark problems are a vital tool in achieving this. However, existing benchmarks are relatively complex and not suitable for analysis by novice weld modellers. This paper describes two benchmarks based upon a simple beam specimen with a single autogenous weld bead laid along its top edge. This geometry may be ana
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Younes, Abdunnaser, Paul Calamai, and Otman Basir. "Generalized benchmark generation for dynamic combinatorial problems." In the 2005 workshops. ACM Press, 2005. http://dx.doi.org/10.1145/1102256.1102262.

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Reports on the topic "Benchmark problems"

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Davidson, Eva E., Fausto Franceschini, and Kang Seog Kim. ATF Benchmark Problems. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1607042.

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Whalen, D. J., D. A. Cardon, J. L. Uhle, and J. S. Hendricks. MCNP: Neutron benchmark problems. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/10103487.

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Whalen, D. J., D. E. Hollowell, and J. S. Hendricks. MCNP: Photon benchmark problems. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5217899.

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Lent, E., K. Sale, R. Buck, and M. Descalle. COG validation: SINBAD Benchmark Problems. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/15014008.

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Ayoul-Guilmard, Q., F. Nobile, S. Ganesh, et al. D6.4 Report on stochastic optimisation for unsteady problems. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.003.

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This report brings together methodological research on stochastic optimisation and work on benchmark and target applications of the ExaQute project, with a focus on unsteady problems. A practical, general method for the optimisation of the conditional value at risk is proposed. Three different optimisation problems are described: an oscillator problem selected as a suitable trial and illustration case; the shape optimisation of an airfoil, chosen as a benchmark application in the project; the shape optimisation of a tall building, which is the challenging target application set for ExaQUte. Fo
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Bezler, P., G. DeGrassi, J. Braverman, and Y. K. Wang. Piping benchmark problems for the Westinghouse AP600 Standardized Plant. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/442138.

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White, Mark D., Robert Podgorney, Sharad M. Kelkar, et al. Benchmark Problems of the Geothermal Technologies Office Code Comparison Study. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1337724.

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Emmett, M. B. Calculational Benchmark Problems for VVER-1000 Mixed Oxide Fuel Cycle. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/814183.

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Dingreville, Remi, James Stewart, Elton Chen, and Joseph Monti. Benchmark problems for the Mesoscale Multiphysics Phase Field Simulator (MEMPHIS). Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1729722.

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Bezler, P., G. DeGrassi, J. Braverman, and Y. K. Wang. Piping benchmark problems for the General Electric Advanced Boiling Water Reactor. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10181166.

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