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Journal articles on the topic 'Solve of problem'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Duan, C. J., Jiayu Hu, and Stephen C. Garrott. "Using Excel Solver to solve braydon farms' truck routing problem: A case study." South Asian Journal of Management Sciences 10, no. 1 (2016): 38–47. http://dx.doi.org/10.21621/sajms.2016101.04.

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2

Samuels, Stephen M. "[Who Solved the Secretary Problem?]: Comment: Who will Solve the Secretary Problem?" Statistical Science 4, no. 3 (1989): 289–91. http://dx.doi.org/10.1214/ss/1177012494.

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3

Yildiran, Nezihe, and Emin Tacer. "Game Theory Approach to Solve Economic Dispatch Problem." International Journal of Trade, Economics and Finance 6, no. 4 (2015): 230–34. http://dx.doi.org/10.7763/ijtef.2015.v6.474.

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4

Abdul-Razaq, Tariq S., and Faez H. Ali. "Hybrid Bees Algorithm to Solve Aircraft Landing Problem." Journal of Zankoy Sulaimani - Part A 17, no. 1 (2014): 71–90. http://dx.doi.org/10.17656/jzs.10362.

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5

Nair, Dr Prabha Shreeraj. "Clustered Genetic Algorithm to solve Multidimensional Knapsack Problem." International Journal of Trend in Scientific Research and Development Volume-1, Issue-4 (2017): 737–45. http://dx.doi.org/10.31142/ijtsrd2237.

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6

Partridge, Lloyd D. "Frogs solve Bernstein's problem." Behavioral and Brain Sciences 9, no. 4 (1986): 619–20. http://dx.doi.org/10.1017/s0140525x00051505.

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7

SAMAL, ASHOK, and TOM HENDERSON. "PARALLEL SPLIT-LEVEL RELAXATION." International Journal of Pattern Recognition and Artificial Intelligence 02, no. 03 (1988): 425–42. http://dx.doi.org/10.1142/s021800148800025x.

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The goal of high level vision is to identify a set of regions in a given image. This has been called by various names: the scene labeling problem’, the consistent labeling problem2, the constraint satisfaction problem3, Waltz filtering4, the satisfying assignment problem5, etc. There are several approaches to solve this problem, including backtracking, graph matching and relaxation. A new method called split-level relaxation, which is based on discrete relaxation was proposed in Ref. 6. It takes care of multiple semantic constraints by considering each of them independently. The problem is kno

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8

Gogodze, Joseph. "Ranking Methods for Multicriteria Decision-Making: Application to Benchmarking of Solvers and Problems." Scientific Programming 2021 (July 11, 2021): 1–14. http://dx.doi.org/10.1155/2021/5513860.

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Evaluating the performance assessments of solvers (e.g., for computation programs), known as the solver benchmarking problem, has become a topic of intense study, and various approaches have been discussed in the literature. Such a variety of approaches exist because a benchmark problem is essentially a multicriteria problem. In particular, the appropriate multicriteria decision-making problem can correspond naturally to each benchmark problem and vice versa. In this study, to solve the solver benchmarking problem, we apply the ranking-theory method recently proposed for solving multicriteria

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9

Pinheiro, Placido Rogerio, Andre Luis Vasconcelos Coelho, Alexei Barbosa Aguiar, and Alvaro de Menezes Sobreira Neto. "Towards Aid by Generate and Solve Methodology: Application in the Problem of Coverage and Connectivity in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 10 (2012): 790459. http://dx.doi.org/10.1155/2012/790459.

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The integrative collaboration of genetic algorithms and integer linear programming as specified by the Generate and Solve methodology tries to merge their strong points and has offered significant results when applied to wireless sensor networks domains. The Generate and Solve (GS) methodology is a hybrid approach that combines a metaheuristics component with an exact solver. GS has been recently introduced into the literature in order to solve the problem of dynamic coverage and connectivity in wireless sensor networks, showing promising results. The GS framework includes a metaheuristics eng

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10

Gajewski, Ryszard Robert. "Evolutionary Spreadsheet Solver in Optimal Engineering Design." MATEC Web of Conferences 196 (2018): 01047. http://dx.doi.org/10.1051/matecconf/201819601047.

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Spreadsheet solver proved to be an excellent tool to solve operational research problems modelled as linear programming problems. Majority of engineering design problems are nonlinear in nature. The paper presents ability of spreadsheet solver to solve such problems as: four bar statically determinate truss, compound gear train problem and sequence determination problem by means of evolutionary engine.

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11

Patterson, Lynn G., and Kadie L. Patterson. "Problem Solve with Presidential Data." Mathematics Teaching in the Middle School 19, no. 7 (2014): 406–13. http://dx.doi.org/10.5951/mathteacmiddscho.19.7.0406.

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12

Graham, Jo. "Introducing a problem to solve." Practical Pre-School 2004, no. 44 (2004): 21. http://dx.doi.org/10.12968/prps.2004.1.44.40120.

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13

Goddard Lindh, Allan. "Did Popper solve Hume's problem?" Nature 366, no. 6451 (1993): 105–6. http://dx.doi.org/10.1038/366105a0.

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14

Wansart, William L. "Learning to Solve a Problem." Journal of Learning Disabilities 23, no. 3 (1990): 164–70. http://dx.doi.org/10.1177/002221949002300306.

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15

Wijayanti, A., Y. S. Kusumah, and Suhendra. "How to Solve Polyhedron Problem?" Journal of Physics: Conference Series 895 (September 2017): 012070. http://dx.doi.org/10.1088/1742-6596/895/1/012070.

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16

Salman, Ayed A., Imtiaz Ahmad, and Mahmad G. H. Omran. "Stochastic Diffusion Binary Differential Evolution to Solve Multidimensional Knapsack Problem." International Journal of Machine Learning and Computing 6, no. 2 (2016): 130–33. http://dx.doi.org/10.18178/ijmlc.2016.6.2.586.

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17

S, Prabakaran. "A Survey on Approaches to Solve Travelling Sa-lesman Problem." International Journal of Psychosocial Rehabilitation 24, no. 4 (2020): 4911–20. http://dx.doi.org/10.37200/ijpr/v24i4/pr201592.

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18

Kaplík, Pavol, Miroslav Prístavka, Marián Bujna, and Ján Viderňan. "Use of 8D Method to Solve Problems." Advanced Materials Research 801 (September 2013): 95–101. http://dx.doi.org/10.4028/www.scientific.net/amr.801.95.

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If organizations want to be successful, they must quickly adapt to changing conditions in a competitive environment, must be flexible and must quickly resolve situations and problems occurring in organization. We use different tools and methods to solve these problems. One of these methods is Eight Disciplines Problem Solving (8D). The 8D method is a structured problem solving process. This method helps to correctly and timely solve problems. It is used when the cause of problem is unknown or when the solution to problem is beyond the capabilities of a single worker. This method is also used t

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19

Sulaiman, Najmaddin A., and Basiya K. Abulrahim. "Arithmetic Average Transformation Technique to Solve Multi-Objective Quadratic Programming Problem." Journal of Zankoy Sulaimani - Part A 15, no. 1 (2012): 57–69. http://dx.doi.org/10.17656/jzs.10233.

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20

Saputra, Ade Tegar, Jumadi Jumadi, Debora Wibianne Paramitha, and Siti Sarah. "Problem-Solving Approach in Multiple Representations of Qualitative and Quantitative Problems in Kinematics Motion." Jurnal Ilmiah Pendidikan Fisika Al-Biruni 8, no. 1 (2019): 89–98. http://dx.doi.org/10.24042/jipfalbiruni.v8i1.3801.

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The study aims to find the approach used by students in solving physics problems with symbol and graph representations and also to find out the student's approach to solving qualitative and quantitative questions. This is related to student good problem solvers use multiple representations to solve the problem. They use the qualitative and quantitative approach in a physics problem. The type of research conducted to find out this is quantitative descriptive. In this study, data were obtained by tests and interviews. We give four problems in kinematic motions to undergraduate students. The prob

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21

Kersaint, Gladis. "Solve It!: Cookies." Mathematics Teaching in the Middle School 11, no. 5 (2006): 231–35. http://dx.doi.org/10.5951/mtms.11.5.0231.

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The editorial panel is presenting the following problem to stimulate submissions to “The Thinking of Students” department. We encourage teachers to try this problem with students and analyze the different ways that they use to solve it. Feel free to photocopy this problem for use in your classroom.

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22

Kersaint, Gladis. "Solve It!: Generosity." Mathematics Teaching in the Middle School 11, no. 6 (2006): 284. http://dx.doi.org/10.5951/mtms.11.6.0284.

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The editorial panel is presenting the following problem to stimulate submissions to “The Thinking of Students” department. We encourage teachers to try this problem with students and analyze the different ways that they use to solve it. Feel free to photocopy this problem for use in your classroom.

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23

Mairing, Jackson Pasini. "Thinking Process of Naive Problem Solvers to Solve Mathematical Problems." International Education Studies 10, no. 1 (2016): 1. http://dx.doi.org/10.5539/ies.v10n1p1.

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Solving problem is not only a goal of mathematical learning. Students acquire ways of thinking, habits of persistence and curiosity, and confidence in unfamiliar situations by learning to solve problems. In fact, there were students who had difficulty in solving problems. The students were naive problem solvers. This research aimed to describe the thinking process of naive problem solvers based on heuristic of Polya. The researcher gave two problems to students at grade XI from one of high schools in Palangka Raya, Indonesia. The research subjects were two students with problem solving scores

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24

Howick, Jeremy, Paul Glasziou, and Jeffrey K. Aronson. "Problems with using mechanisms to solve the problem of extrapolation." Theoretical Medicine and Bioethics 34, no. 4 (2013): 275–91. http://dx.doi.org/10.1007/s11017-013-9266-0.

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25

Taunton, Sabina Ahmed. "Enrolled nurses would solve shortage problem." Nursing Standard 14, no. 26 (2000): 27. http://dx.doi.org/10.7748/ns.14.26.27.s45.

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26

Ameel, Eef, Gert Storms, Barbara C. Malt, and Steven A. Sloman. "How bilinguals solve the naming problem☆." Journal of Memory and Language 53, no. 1 (2005): 60–80. http://dx.doi.org/10.1016/j.jml.2005.02.004.

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27

Romero, Fernando. "New seals solve compressor vibration problem." Sealing Technology 2006, no. 4 (2006): 12–14. http://dx.doi.org/10.1016/s1350-4789(06)71128-x.

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28

DeChurch, Leslie A., and Stephen J. Zaccaro. "Perspectives: Teams Won’t Solve This Problem." Human Factors: The Journal of the Human Factors and Ergonomics Society 52, no. 2 (2010): 329–34. http://dx.doi.org/10.1177/0018720810374736.

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Objective: We link the problem of complex sociotechnical systems to a new unit-of-analysis and fruitful developing area of applied research, the multiteam system. Background: Teams are the dominant entity and theoretical lens being applied to understanding the performance of complex sociotechnical systems. We submit that such problems cannot be solved through the teams lens because complex sociotechnical systems exhibit features such as mixed-motive goal structures and complex, layered social identities that do not meet the definitional requirements of a team. Method: We present key findings f

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29

Ginting, S. W., E. TSB Darjosanjoto, and H. Sulistyarso. "Can Architecture Design Solve Social Problem?" IOP Conference Series: Materials Science and Engineering 180 (March 2017): 012082. http://dx.doi.org/10.1088/1757-899x/180/1/012082.

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30

Curtin, Mary Ellen. "Trying to Solve the Biofouling Problem." Nature Biotechnology 3, no. 1 (1985): 38. http://dx.doi.org/10.1038/nbt0185-38.

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31

KODRATOFF, YVES, VASSILIS MOUSTAKIS, and NICOLAS GRANER. "CAN MACHINE LEARNING SOLVE MY PROBLEM?" Applied Artificial Intelligence 8, no. 1 (1994): 1–31. http://dx.doi.org/10.1080/08839519408945431.

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32

Perri, Timothy. "Does signalling solve the lemons problem?" Applied Economics Letters 23, no. 4 (2015): 227–29. http://dx.doi.org/10.1080/13504851.2015.1066484.

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33

Lyerla, Timothy A. "Scientific detectives solve ashen mutant problem." Blood 109, no. 4 (2007): 1344. http://dx.doi.org/10.1182/blood-2006-11-059683.

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34

Komarova, Natalia. "Does Cancer Solve an Optimization Problem?" Cell Cycle 3, no. 7 (2004): 838–42. http://dx.doi.org/10.4161/cc.3.7.974.

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35

Ayache, Elie, Philippe Henrotte, Sonia Nassar, and Xuewen Wang. "Can anyone solve the smile problem?" Wilmott 2004, no. 1 (2004): 78–96. http://dx.doi.org/10.1002/wilm.42820040117.

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36

Priest, Michael F., and Yevgenia Kozorovitskiy. "PAM helps solve VTA's SHANKless problem." Nature Neuroscience 19, no. 7 (2016): 864–66. http://dx.doi.org/10.1038/nn.4336.

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37

Padmanabhan, T., and T. R. Seshadri. "Does inflation solve the horizon problem?" Classical and Quantum Gravity 5, no. 1 (1988): 221–24. http://dx.doi.org/10.1088/0264-9381/5/1/025.

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38

Venker‐van Haagen, A. J. "Dyspnea: How to solve the problem." Veterinary Quarterly 17, sup1 (1995): 7–8. http://dx.doi.org/10.1080/01652176.1995.9694563.

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39

Lippert–rasmussen, Kasper, and Karsten Klint Jensen. "Does Particularism Solve the Moral Problem?" Philosophical Explorations 5, no. 2 (2002): 125–40. http://dx.doi.org/10.1080/10002002058538726.

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40

MacBride, F. "Can structuralism solve the 'access' problem?" Analysis 64, no. 4 (2004): 309–17. http://dx.doi.org/10.1093/analys/64.4.309.

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41

ZHONG, LEI. "Can Counterfactuals Solve the Exclusion Problem?" Philosophy and Phenomenological Research 83, no. 1 (2010): 129–47. http://dx.doi.org/10.1111/j.1933-1592.2010.00415.x.

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42

Fields, Chris. "How humans solve the frame problem." Journal of Experimental & Theoretical Artificial Intelligence 25, no. 4 (2013): 441–56. http://dx.doi.org/10.1080/0952813x.2012.741624.

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43

Algasm, Wesam Ali. "Hybrid Algorithm to Solve Timetabling Problem." IOP Conference Series: Materials Science and Engineering 928 (November 19, 2020): 032053. http://dx.doi.org/10.1088/1757-899x/928/3/032053.

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44

Stelmach, J. "Can textures solve the horizon problem?" General Relativity and Gravitation 26, no. 3 (1994): 275–82. http://dx.doi.org/10.1007/bf02108007.

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45

Al Daghriri, M. "Can Abbe flap solve the problem." International Journal of Oral and Maxillofacial Surgery 46 (March 2017): 174. http://dx.doi.org/10.1016/j.ijom.2017.02.595.

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46

Jacobson, Michael F., and Jackson T. Wright. "Policies to solve the salt problem." Preventive Medicine 145 (April 2021): 106448. http://dx.doi.org/10.1016/j.ypmed.2021.106448.

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47

Rizvi, MM, HS Faruque Alam, and Ganesh Chandra Ray. "Lagrangian Relaxation Method in Approximating the Pareto Front of Multiobjective Optimization Problems." GANIT: Journal of Bangladesh Mathematical Society 40, no. 2 (2021): 126–33. http://dx.doi.org/10.3329/ganit.v40i2.51315.

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In this paper, we propose that the Lagrangian relaxation approach can be used to approximate the Pareto front of the multiobjective optimization problems. We introduce Lagrangian relaxation approach to solve scalarized subproblems. The scalarization is a technique employed to transform multiple objectives optimization problems into single-objective optimization problems so that existing optimization techniques are used to solve the problems. The relaxation approach exploits transformation and creates a Lagrangian problem in which some of the constraints are replaced from the original problem t

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48

Ramm, Alexander G. "Symmetry problem 1." JOURNAL OF ADVANCES IN MATHEMATICS 15 (December 1, 2018): 8093–97. http://dx.doi.org/10.24297/jam.v15i0.7945.

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A symmetry problem is solved. A new method is used. The idea of this methodis to reduce to a contradiction the PDE and the over-determined boundary data on the boundary.The new method allows one to solve other symmetry problems.

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49

Hammad, Ahmed W. A. "A Bilevel Multiobjective Optimisation Approach for Solving the Evacuation Location Assignment Problem." Advances in Civil Engineering 2019 (February 7, 2019): 1–11. http://dx.doi.org/10.1155/2019/6052931.

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In this paper, a bilevel multiobjective optimisation model is proposed to solve the evacuation location assignment problem. The model incorporates the two decision-makers’ spaces, namely, urban planners and evacuees. In order to solve the proposed problem, it is first reformulated into a single-level problem using the Karush–Kuhn–Tucker conditions. Next, the problem is linearised into a mixed-integer linear programming model and solved using an off-the-shelf solver. A case study is examined to showcase the applicability of the proposed model, which is solved using single-objective and multiobj

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50

Ameis, Jerry A. "Stories Invite Children to Solve Mathematical Problems." Teaching Children Mathematics 8, no. 5 (2002): 260–64. http://dx.doi.org/10.5951/tcm.8.5.0260.

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One important recommendation of Principles and Standards for School Mathematics (NCTM 2000) is the need to involve students in problem solving. One way to understand the term problem solving is to examine two aspects of the process: (1) teachers' creating classroom cultures that facilitate learning through problem solving and (2) children's solving mathematical problems.

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