Relevant bibliographies by topics / Scenario-based programming

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

Academic literature on the topic 'Scenario-based programming'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Scenario-based programming"

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Alexandron, Giora, Michal Armoni, Michal Gordon, and David Harel. "Scenario-Based Programming, Usability-Oriented Perception." ACM Transactions on Computing Education 14, no. 3 (2014): 1–23. http://dx.doi.org/10.1145/2648814.

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Tarim, S. Armagan, Suresh Manandhar, and Toby Walsh. "Stochastic Constraint Programming: A Scenario-Based Approach." Constraints 11, no. 1 (2006): 53–80. http://dx.doi.org/10.1007/s10601-006-6849-7.

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Cao, M. F. "Scenario-Based Methods for Interval Linear Programming Problems." Journal of Environmental Informatics 17, no. 2 (2011): 65–74. http://dx.doi.org/10.3808/jei.201100188.

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Li, Zhuangzhi, and Zukui Li. "Linear programming-based scenario reduction using transportation distance." Computers & Chemical Engineering 88 (May 2016): 50–58. http://dx.doi.org/10.1016/j.compchemeng.2016.02.005.

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Li, Xuandong, Minxue Pan, Lei Bu, Linzhang Wang, and Jianhua Zhao. "Timing analysis of scenario-based specifications using linear programming." Software Testing, Verification and Reliability 22, no. 2 (2012): 121–43. http://dx.doi.org/10.1002/stv.434.

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Yuan, Yifei, Dong Lin, Siri Anil, et al. "NetEgg: A Scenario-Based Programming Toolkit for SDN Policies." IEEE/ACM Transactions on Networking 26, no. 5 (2018): 2104–17. http://dx.doi.org/10.1109/tnet.2018.2861919.

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JI, XIAODONG, XIUJUAN ZHAO, and XIULI CHAO. "A NOVEL METHOD FOR MULTISTAGE SCENARIO GENERATION BASED ON CLUSTER ANALYSIS." International Journal of Information Technology & Decision Making 05, no. 03 (2006): 513–30. http://dx.doi.org/10.1142/s0219622006002106.

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Based on cluster analysis, a novel method is introduced in this paper to generate multistage scenarios. A linear programming model is proposed to exclude the arbitrage opportunity by appending a scenario to the generated scenario set. By means of a cited stochastic linear goal programming portfolio model, a case is given to exhibit the virtues of this scenario generation approach.
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Golpîra, Hêriş. "A Scenario Based Stochastic Time-Cost-Quality Trade-Off model for Project Scheduling Problem." International Journal of Management Science and Business Administration 2, no. 5 (2014): 7–12. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.25.1001.

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This paper formulates a new time–cost trade-off problem under some uncertainties for a multi-phase project. To do this, a new approach is proposed based on goal programming in compliance with scenario-based stochastic optimization formulation. To the best of our knowledge, this problem has not been extensively treated in the literature. Computational results show the applicability and usefulness of the proposed method.
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Sharifi, Mohammadreza, and Roy H. Kwon. "Performance-based contract design under cost uncertainty: A scenario-based bilevel programming approach." Engineering Economist 63, no. 4 (2018): 291–318. http://dx.doi.org/10.1080/0013791x.2018.1467990.

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Li, He Peng, Chuan Zhi Zang, Peng Zeng, Hai Bin Yu, and Zhong Wen Li. "Scenario-Based Stochastic Programming Strategy for Microgrid Energy Scheduling Considering Uncertainties." Applied Mechanics and Materials 672-674 (October 2014): 1322–28. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1322.

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The inherent random and intermittence of the renewable energy resources pose a huge challenge to the Microgrid (MG) energy management systems (EMS). In order to mitigate the effects of uncertainties, we propose a novel two-stage stochastic programming model for the energy scheduling optimization by considering the uncertainties in solar and wind generation, and the plug-in electric vehicles (EV). The random nature of uncertainty is characterized by a scenarios generation approach based on autoregressive moving average (ARMA) model according to probability density function of each random variab
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Dissertations / Theses on the topic "Scenario-based programming"

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Alwohaibi, Maram. "Modelling the risk of underfunding in ALM models." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/16337.

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Asset and Liability Management (ALM) models have become well established decision tools for pension funds. ALMs are commonly modelled as multi-stage, in which a large terminal wealth is required, while at intermediate time periods, constraints on the funding ratio, that is, the ratio of assets to liabilities, are imposed. Underfunding occurs when the funding ratio is too low; a target value for funding ratios is pre-specified by the decision maker. The risk of underfunding has been usually modelled by employing established risk measures; this controls one single aspect of the funding ratio dis
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Kůdela, Jakub. "Stochastická optimalizace v programu AIMMS." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231064.

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Tato diplomová práce uvádí základní poznatky matematického a především stochastického programování. Navíc se zabývá použitím softwaru AIMMS při vytváření a řešení optimalizačních problémů. Naším hlavním cílem je naprogramovat v softwaru AIMMS několik metod řešení problémů stochastického programování a ukázat jejich použití a užitečnost na vybraných problémech. Jedním z problémů, který jsme si zvolili, je model spalovny. Všechny AIMMS programy, které v našem textu použijeme a popíšeme, a jejich zdrojové kódy budou přiloženy v dodatcích.
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Sadeghi, Azadeh. "Social Cost-Vehicle Routing Problem in Post-Disaster Humanitarian Logistics." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1626446795459101.

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Klimeš, Lubomír. "Algoritmy stochastického programování." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-229034.

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Stochastické programování a optimalizace jsou mocnými nástroji pro řešení široké škály inženýrských problémů zahrnujících neurčitost. Algoritmus progressive hedging je efektivní dekompoziční metoda určená pro řešení scénářových stochastických úloh. Z důvodu vertikální dekompozice je možno tento algoritmus implementovat paralelně, čímž lze významně ušetřit výpočetní čas a ostatní prostředky. Teoretická část této diplomové práce se zabývá matematickým a zejména pak stochastickým programováním a detailně popisuje algoritmus progressive hedging. V praktické části je navržena a diskutována původní
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Brushammar, Tobias, and Erik Windelhed. "An Optimization-Based Approach to the Funding of a Loan Portfolio." Thesis, Linköping University, Department of Mathematics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2664.

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<p>This thesis grew out of a problem encountered by a subsidiary of a Swedish multinational industrial corporation. This subsidiary is responsible for the corporation’s customer financing activities. In the thesis, we refer to these entities as the Division and the Corporation. The Division needed to find a new approach to finance its customer loan portfolio. Risk control and return maximization were important aspects of this need. The objective of this thesis is to devise and implement a method that allows the Division to make optimal funding decisions, given a certain risk limit. </p><p>We p
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"Investment models based on clustered scenario trees." 2006. http://library.cuhk.edu.hk/record=b5893074.

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Wong Man Hong.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2006.<br>Includes bibliographical references (leaves 60-63).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Abstract in Chinese --- p.ii<br>Thesis Assessment Committee --- p.iii<br>Acknowledgement --- p.iv<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Our Work and Motivation --- p.1<br>Chapter 1.2 --- Literature Review --- p.3<br>Chapter 1.3 --- Thesis Structure --- p.5<br>Chapter 2 --- Preliminary --- p.6<br>Chapter 2.1 --- Calculus for Volume of Sphere --- p.6<br>Chapter 2.2 --- Fractional
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Koong, Chorng-Shiuh, and 孔崇旭. "A Component-based Visual Scenario Construction Environment for Non-Programming users to Create Interactive Electronic Books." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/19478062965879537726.

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博士<br>國立交通大學<br>資訊工程系<br>89<br>Multimedia electronic books play an important role in today’s elementary education area. The fast computing power of PC and the rapid growth of multimedia technologies have made the use of multimedia presentation and animation very attractive. However, creating a multimedia electronic book still requires a great deal of time, skill, and effort. We found that most of the current commercial authoring tools, for example Director and Authorware, are designed for the professional users and are not quite suitable for the non-programming user group such as the school te
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Rossi, F., F. Manenti, C. Pirola, and Iqbal M. Mujtaba. "A robust sustainable optimization & control strategy (RSOCS) for (fed-)batch processes towards the low-cost reduction of utilities consumption." 2015. http://hdl.handle.net/10454/7964.

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Yes<br>The need for the development of clean but still profitable processes and the study of low environmental impact and economically convenient management policies for them are two challenges for the years to come. This paper tries to give a first answer to the second of these needs, limited to the area of discontinuous productions. It deals with the development of a robust methodology for the profitable and clean management of (fed-)batch units under uncertainty, which can be referred to as a robust sustainability-oriented model-based optimization & control strategy. This procedure is speci
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Beier, Eric. "Subgradient-based Decomposition Methods for Stochastic Mixed-integer Programs with Special Structures." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10483.

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The focus of this dissertation is solution strategies for stochastic mixed-integer programs with special structures. Motivation for the methods comes from the relatively sparse number of algorithms for solving stochastic mixed-integer programs. Two stage models with finite support are assumed throughout. The first contribution introduces the nodal decision framework under private information restrictions. Each node in the framework has control of an optimization model which may include stochastic parameters, and the nodes must coordinate toward a single objective in which a single optimal or c
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Books on the topic "Scenario-based programming"

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Marelly, Rami, and David Harel. Come, Let’s Play: Scenario-Based Programming Using LSCs and the Play-Engine. Springer, 2012.

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Come, Let's Play: Scenario-Based Programming Using LSCs and the Play-Engine. Springer, 2003.

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Chitnis, Shilpa, Pravin Khemani, and Michael S. Okun, eds. Deep Brain Stimulation. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190647209.001.0001.

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The fundamental principles of deep brain stimulation treatment are derived from decades of empirical and experiential observations. Through a case-based approach, this book is an effort to distill the expertise of clinical teams who are at the frontlines of managing patients with deep brain stimulation. The vast majority of patients with tremors, Parkinson disease, dystonia and other hyperkinetic disorders treated with DBS obtain significant relief of their neurological symptoms with conventional programming techniques that are outlined at the beginning of each section in this book. However, p
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Book chapters on the topic "Scenario-based programming"

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Cho, Eun-Sun, Kang-Woo Lee, Min-Young Kim, and Hyun Kim. "Scenario-Based Programming for Ubiquitous Applications." In Ubiquitous Computing Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890348_22.

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Uchihira, Naoshi, Hideji Kawata, and Fumitaka Tamura. "Scenario-based hypersequential programming: Formulation of parallelization." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0024222.

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Hemmi, David, Guido Tack, and Mark Wallace. "Scenario-Based Learning for Stochastic Combinatorial Optimisation." In Integration of AI and OR Techniques in Constraint Programming. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59776-8_23.

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Gordon, Michal, and David Harel. "Steps towards Scenario-Based Programming with a Natural Language Interface." In From Programs to Systems. The Systems perspective in Computing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54848-2_9.

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Barak, Dan, David Harel, and Rami Marelly. "InterPlay: Horizontal Scale-up and Transition to Design in Scenario-Based Programming." In Lectures on Concurrency and Petri Nets. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27755-2_2.

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Mausser, Helmut, and Dan Rosen. "27. Scenario-Based Risk Management Tools." In Applications of Stochastic Programming. Society for Industrial and Applied Mathematics, 2005. http://dx.doi.org/10.1137/1.9780898718799.ch27.

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Defourny, Boris, Damien Ernst, and Louis Wehenkel. "Multistage Stochastic Programming." In Decision Theory Models for Applications in Artificial Intelligence. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-165-2.ch006.

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In this chapter, we present the multistage stochastic programming framework for sequential decision making under uncertainty. We discuss its differences with Markov Decision Processes, from the point of view of decision models and solution algorithms. We describe the standard technique for solving approximately multistage stochastic problems, based on a discretization of the disturbance space called scenario tree. We insist on a critical issue of the approach; the decisions can be very sensitive to the parameters of the scenario tree, whereas no efficient tool for checking the quality of approximate solutions exists. In this chapter, we show how supervised learning techniques can be used to evaluate reliably the quality of an approximation, and thus facilitate the selection of a good scenario tree. The framework and solution techniques presented in the chapter are explained and detailed on several examples. Along the way, we define notions from decision theory that can be used to quantify, for a particular problem, the advantage of switching to a more sophisticated decision model.
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Gharbi, Ibrahim, Hamza Gharsellaoui, and Sadok Bouamama. "New Hybrid Genetic Based Approach for Real-Time Scheduling of Reconfigurable Embedded Systems." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch055.

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This journal article deals with the problem of real-time scheduling of operating systems (OS) tasks by a hybrid genetic-based scheduling algorithm. Indeed, most of real-time systems are framed with aid of priority-based scheduling algorithms. Nevertheless, when such a scenario is applied to save the system at the occurrence of hardware-software faults, or to improve its performance, some real-time properties can be violated at run-time. In contrast, most of the applications of real-time systems are based on timing constraints, i.e. OS tasks should be scheduled properly to finish their execution within the time specified by the real-time systems. For this reason, the authors propose in their article, a hybrid genetic-based scheduling approach that automatically checks the systems feasibility after any reconfiguration scenario was applied to an embedded system. A benchmark example is given, and the experimental results demonstrate the effectiveness of the originally proposed genetic-based scheduling approach over other such classical genetic algorithmic approaches.
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Zhang, Xiaoquin, Haiping Xu, and Bhavesh Shrestha. "Building a Health Care Multi-Agent Simulation Sysmte with Role-Based Modeling." In Multi-Agent Systems for Healthcare Simulation and Modeling. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-772-0.ch006.

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Multi-Agent System (MAS) is a suitable programming paradigm for simulating and modeling health care systems and applications, where resources, data, control and services are widely distributed. We have developed a multi-agent software prototype to simulate the activities and roles inside a health care system. The prototype is developed using a framework called Role-based Agent Development Environment (RADE). In this chapter, the authors present an integrated approach for modeling, designing and implementing a multi-agent health care simulation system using RADE. They describe the definition of role classes and agent classes, as well as the automatic agent generation process. The authors illustrate the coordination problem and present a rule-based coordination approach. In the end, they present a runtime scenario of this health care simulation system, which demonstrates that dynamic task allocation can be achieved through the creation of role instances and the mapping from role instances to agents. This scenario also explains how agents coordinate their activities given their local constraints and interdependence among distributed tasks.
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Puig-Centelles, Anna, Nicolau Sunyer, Oscar Ripolles, Miguel Chover, and Mateu Sbert. "Rain Simulation in Dynamic Scenes." In Innovative Design and Creation of Visual Interfaces. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0285-4.ch018.

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Rain is a complex phenomenon and its simulation is usually very costly. In this article, the authors propose a fully-GPU rain simulation based on the utilization of particle systems. The flexibility of CUDA allows the authors to include, aside from the rainfall simulation, a system for the detection and handling of the collisions of particles against the scenario. This detection system allows for the simulation of splashes at the same time. This system obtains a very high performance because of the hardware programming capabilities of CUDA.
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Conference papers on the topic "Scenario-based programming"

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Yuan, Yifei, Dong Lin, Rajeev Alur, and Boon Thau Loo. "Scenario-based programming for SDN policies." In CoNEXT '15: Conference on emerging Networking Experiments and Technologies. ACM, 2015. http://dx.doi.org/10.1145/2716281.2836119.

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Berkman-Chardon, Anat, David Harel, Yaarit Goel, Rami Marelly, Smadar Szekely, and Guy Weiss. "Scenario-based programming for mobile applications." In ICSE '16: 38th International Conference on Software Engineering. ACM, 2016. http://dx.doi.org/10.1145/2897073.2897080.

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Gordon, Michal, and David Harel. "Semantic Navigation Strategies for Scenario-Based Programming." In 2010 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 2010. http://dx.doi.org/10.1109/vlhcc.2010.38.

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Park, Hyesung, Sean Yang, and Hongsik Choi. "Scenario Based Active Learning Programming with Unity 3D." In SIGCSE '20: The 51st ACM Technical Symposium on Computer Science Education. ACM, 2020. http://dx.doi.org/10.1145/3328778.3372582.

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Katz, Guy, and Achiya Elyasaf. "Towards combining deep learning, verification, and scenario-based programming." In CPS-IoT Week '21: Cyber-Physical Systems and Internet of Things Week 2021. ACM, 2021. http://dx.doi.org/10.1145/3459086.3459631.

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Alexandron, Giora, Michal Armoni, Michal Gordon, and David Harel. "The effect of previous programming experience on the learning of scenario-based programming." In the 12th Koli Calling International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2401796.2401821.

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Alexandron, Giora, Michal Armoni, Michal Gordon, and David Harel. "Scenario-based programming: reducing the cognitive load, fostering abstract thinking." In ICSE '14: 36th International Conference on Software Engineering. ACM, 2014. http://dx.doi.org/10.1145/2591062.2591167.

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Trpovski, Andrej, and Thomas Hamacher. "Ring Distribution System Expansion Planning using Scenario Based Mixed Integer Programming." In 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2020. http://dx.doi.org/10.1109/td39804.2020.9299971.

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Trpovski, Andrej, and Thomas Hamacher. "Scenario Based N-1 Transmission Expansion Planning using DC Mixed Integer Programming." In 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973506.

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Costa, Joana Martinho. "Using a scenario-based learning with robots to increase the programming interest." In the Second International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2669711.2669891.

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