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Relevant bibliographies by topics / Optimization of accounting

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Academic literature on the topic 'Optimization of accounting'

Author: Grafiati

Published: 4 May 2022

Last updated: 11 June 2025

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Journal articles on the topic "Optimization of accounting"

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Tuchak, Tetiana. "Accounting tools and tax optimization schemes." Management and entrepreneurship: trends of development, no. 4(10) (2019): 8–18. http://dx.doi.org/10.26661/2522-1566/2019-4/10-01.

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Popa, Mihaela. "Optimization of Fiscal Costs Versus Creative Accounting." Procedia - Social and Behavioral Sciences 62 (October 2012): 1271–75. http://dx.doi.org/10.1016/j.sbspro.2012.09.217.

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Suresh, Shyam, Carl-Johan Thore, Bo Torstenfelt, and Anders Klarbring. "Topology optimization accounting for surface layer effects." Structural and Multidisciplinary Optimization 62, no. 6 (2020): 3009–19. http://dx.doi.org/10.1007/s00158-020-02644-x.

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AbstractMetal AM (additive manufacturing) components are generally inhomogeneous and have different microstructure in the bulk compared with (contour) regions near the surface. This, as well as rough as-built surfaces, affects mechanical properties. In this paper, we develop a topology optimization method that considers such inhomogeneities. The method is a direct extension of standard density-based methods using linear filtering for regularization, and a second filtering of the design variables is used to identify a surface layer, the thickness of which is given by the filter radius. Domain extension is used in order to properly identify such layers at the boundary of the design domain. The method is generally applicable but is demonstrated for stiffness optimization. Both two- and three-dimensional problems are treated. A general property of the method is that the topological complexity is reduced, i.e. the optimized designs get fewer and thicker structural members as the width of the surface layer is increased.

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Li, Jiyou. "Government accounting optimization based on computational linguistics." Cognitive Systems Research 57 (October 2019): 85–91. http://dx.doi.org/10.1016/j.cogsys.2018.10.017.

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Miller, Louise. "A Managerial Accounting Case Utilizing Optimization And Simulation." Journal of Business Case Studies (JBCS) 9, no. 5 (2013): 381–86. http://dx.doi.org/10.19030/jbcs.v9i5.8063.

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Hand, John R. M., and Jeremiah Green. "The Importance of Accounting Information in Portfolio Optimization." Journal of Accounting, Auditing & Finance 26, no. 1 (2011): 1–34. http://dx.doi.org/10.1177/0148558x11400577.

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Jansen, Miche, Geert Lombaert, Moritz Diehl, Boyan S. Lazarov, Ole Sigmund, and Mattias Schevenels. "Robust topology optimization accounting for misplacement of material." Structural and Multidisciplinary Optimization 47, no. 3 (2012): 317–33. http://dx.doi.org/10.1007/s00158-012-0835-z.

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Siemaszko, A., and K. Doliński. "Limit state reliability optimization accounting for geometric effects." Structural Optimization 11, no. 2 (1996): 80–87. http://dx.doi.org/10.1007/bf01376848.

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Sun, Mengying. "Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm." Advances in Multimedia 2022 (January 20, 2022): 1–10. http://dx.doi.org/10.1155/2022/3859994.

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With the continuous improvement of the capital market and related laws and regulations, accounting as a reflection of the corporate capital movement will have a significant impact on the quality of the entire accounting information. Moreover, for investors, whether accounting information can meet their needs is an important basis for assessing the feasibility of investment projects. Therefore, the importance of accounting information is becoming more and more important, and it has gradually become the focus of attention of all parties. In order to improve the effect of accounting quantity and quality evaluation, this article improves the particle swarm optimization algorithm. It improves the particle swarm optimization algorithm from the three aspects—extreme value selection, particle diversity, and inertia weight, and establishes an optimization algorithm suitable for solving the accounting data audit optimization problem. The experimental research results show that the accounting data quality evaluation system based on the improved particle swarm algorithm proposed in this article has a good accounting data quality evaluation effect and meets the basic requirements of this article to build the system.

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Dai, Yun Hui, and Xue Ning Ge. "Problems and Optimization Recommendations Exist in Manufacturing Logistics Cost Accounting." Advanced Materials Research 1079-1080 (December 2014): 1071–74. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.1071.

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logistics management system is a new thing in China, the logistics cost accounting method can be also used some be inopportune or inappropriate, and therefore have a very negative impact on the operation of enterprises. The current or on the accrual basis of accounting, and have set up a special accounting system to the operation mechanism of logistics, lead to the definition of logistics cost according to the comprehensive accounting. The following describes the logistics cost accounting method of manufacturing enterprises, discusses the reasons for the logistics cost accounting, research on some problems in current logistics cost accounting, and gives specific suggestions for improvement.

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Dissertations / Theses on the topic "Optimization of accounting"

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Fredriksson, Albin. "Robust optimization of radiation therapy accounting for geometric uncertainty." Doctoral thesis, KTH, Optimeringslära och systemteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122262.

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Geometric errors may compromise the quality of radiation therapy treatments. Optimization methods that account for errors can reduce their effects. The first paper of this thesis introduces minimax optimization to account for systematic range and setup errors in intensity-modulated proton therapy. The minimax method optimizes the worst case outcome of the errors within a given set. It is applied to three patient cases and shown to yield improved target coverage robustness and healthy structure sparing compared to conventional methods using margins, uniform beam doses, and density override. Information about the uncertainties enables the optimization to counterbalance the effects of errors. In the second paper, random setup errors of uncertain distribution---in addition to the systematic range and setup errors---are considered in a framework that enables scaling between expected value and minimax optimization. Experiments on a phantom show that the best and mean case tradeoffs between target coverage and critical structure sparing are similar between the methods of the framework, but that the worst case tradeoff improves with conservativeness. Minimax optimization only considers the worst case errors. When the planning criteria cannot be fulfilled for all errors, this may have an adverse effect on the plan quality. The third paper introduces a method for such cases that modifies the set of considered errors to maximize the probability of satisfying the planning criteria. For two cases treated with intensity-modulated photon and proton therapy, the method increased the number of satisfied criteria substantially. Grasping for a little less sometimes yields better plans. In the fourth paper, the theory for multicriteria optimization is extended to incorporate minimax optimization. Minimax optimization is shown to better exploit spatial information than objective-wise worst case optimization, which has previously been used for robust multicriteria optimization. The fifth and sixth papers introduce methods for improving treatment plans: one for deliverable Pareto surface navigation, which improves upon the Pareto set representations of previous methods; and one that minimizes healthy structure doses while constraining the doses of all structures not to deteriorate compared to a reference plan, thereby improving upon plans that have been reached with too weak planning goals.<br><p>QC 20130516</p>

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Pissarides, Savvas. "Interactive multiple criteria optimization for capital budgeting." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7723.

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This thesis presents a capital budgeting problem faced by a major telecommunications company. The purpose of this thesis is to address the capital budgeting problem in order to establish a framework for the measurement and evaluation of alternative capital allocation decisions which are compatible with the mission of the company. The solution method follows three major avenues of optimization: multiple criteria, multiple constraints and interactivity. The problem is solved using the Analytic Hierarchy Process to obtain an initial solution which is then improved by an interactive method allowing users to direct the search for an acceptable allocation. The method is implemented by a decision support system hinging on a graphic user interface. The support system has been used by practitioners to evaluate alternatives of a real problem. Results and enhancements are discussed.

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Ndashimye, Maurice. "Accounting for proof test data in Reliability Based Design Optimization." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97108.

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Thesis (MSc)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: Recent studies have shown that considering proof test data in a Reliability Based Design Optimization (RBDO) environment can result in design improvement. Proof testing involves the physical testing of each and every component before it enters into service. Considering the proof test data as part of the RBDO process allows for improvement of the original design, such as weight savings, while preserving high reliability levels. Composite Over-Wrapped Pressure Vessels (COPV) is used as an example application of achieving weight savings while maintaining high reliability levels. COPVs are light structures used to store pressurized fluids in space shuttles, the international space station and other applications where they are maintained at high pressure for extended periods of time. Given that each and every COPV used in spacecraft is proof tested before entering service and any weight savings on a spacecraft results in significant cost savings, this thesis put forward an application of RBDO that accounts for proof test data in the design of a COPV. The method developed in this thesis shows that, while maintaining high levels of reliability, significant weight savings can be achieved by including proof test data in the design process. Also, the method enables a designer to have control over the magnitude of the proof test, making it possible to also design the proof test itself depending on the desired level of reliability for passing the proof test. The implementation of the method is discussed in detail. The evaluation of the reliability was based on the First Order Reliability Method (FORM) supported by Monte Carlo Simulation. Also, the method is implemented in a versatile way that allows the use of analytical as well as numerical (in the form of finite element) models. Results show that additional weight savings can be achieved by the inclusion of proof test data in the design process.<br>AFRIKAANSE OPSOMMING: Onlangse studies het getoon dat die gebruik van ontwerp spesifieke proeftoets data in betroubaarheids gebaseerde optimering (BGO) kan lei tot 'n verbeterde ontwerp. BGO behels vele aspekte in die ontwerpsgebied. Die toevoeging van proeftoets data in ontwerpsoptimering bring te weë; die toetsing van 'n ontwerp en onderdele voor gebruik, die aangepaste en verbeterde ontwerp en gewig-besparing met handhawing van hoë betroubaarsheidsvlakke. 'n Praktiese toepassing van die BGO tegniek behels die ontwerp van drukvatte met saamgestelde materiaal bewapening. Die drukvatontwerp is 'n ligte struktuur wat gebruik word in die berging van hoë druk vloeistowwe in bv. in ruimtetuie, in die internasionale ruimtestasie en in ander toepassings waar hoë druk oor 'n tydperk verlang word. Elke drukvat met saamgestelde materiaal bewapening wat in ruimtevaartstelsels gebruik word, word geproeftoets voor gebruik. In ruimte stelselontwerp lei massa besparing tot 'n toename in loonvrag. Die tesis beskryf 'n optimeringsmetode soos ontwikkel en gebaseer op 'n BGO tegniek. Die metode word toegepas in die ontwerp van drukvatte met saamgestelde materiaal bewapening. Die resultate toon dat die gebruik van proeftoets data in massa besparing optimering onderhewig soos aan hoë betroubaarheidsvlakke moontlik is. Verdermeer, die metode laat ook ontwerpers toe om die proeftoetsvlak aan te pas om sodoende by ander betroubaarheidsvlakke te toets. In die tesis word die ontwikkeling en gebruik van die optimeringsmetode uiteengelê. Die evaluering van betroubaarheidsvlakke is gebaseer op 'n eerste orde betroubaarheids-tegniek wat geverifieer word met talle Monte Carlo simulasie resultate. Die metode is ook so geskep dat beide analitiese sowel as eindige element modelle gebruik kan word. Ten slotte, word 'n toepassing getoon waar resultate wys dat die gebruik van die optimeringsmetode met die insluiting van proeftoets data wel massa besparing kan oplewer.

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Moore, Joseph. "Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/218.

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External-beam radiotherapy is one of the primary methods for treating cancer. Typically a radiotherapy treatment course consists of radiation delivered to the patient in multiple daily treatment fractions over 6-8 weeks. Each fraction requires the patient to be aligned with the image acquired before the treatment course used in treatment planning. Unfortunately, patient alignment is not perfect and results in residual errors in patient setup. The standard technique for dealing with errors in patient setup is to expand the volume of the target by some margin to ensure the target receives the planned dose in the presence of setup errors. This work develops an alternative to margins for accommodating setup errors in the treatment planning process by directly including patient setup uncertainty in IMRT plan optimization. This probabilistic treatment planning (PTP) operates directly on the planning structure and develops a dose distribution robust to variations in the patient position. Two methods are presented. The first method includes only random setup uncertainty in the planning process by convolving the fluence of each beam with a Gaussian model of the distribution of random setup errors. The second method builds upon this by adding systematic uncertainty to optimization by way of a joint optimization over multiple probable patient positions. To assess the benefit of PTP methods, a PTP plan and a margin-based plan are developed for each of the 28 patients used in this study. Comparisons of plans show that PTP plans generally reduce the dose to normal tissues while maintaining a similar dose to the target structure when compared to margin-based plans. Physician assessment indicates that PTP plans are generally preferred over margin-based plans. PTP methods shows potential for improving patient outcome due to reduced complications associated with treatment.

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Changizi, Navid. "FRAME TOPOLOGY OPTIMIZATION WITH STANDARD CROSS SECTIONS: ACCOUNTING FOR BUCKLING, STRESS CONSTRAINTS AND GEOMETRIC VARIABILITY." Cleveland State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1470847100.

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Malik, Shadan A. "Optimization model for product mix and capacity management with activity-based information." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-02022010-020435/.

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Harrison, David Shelby. "Activity-Based Costing & Warm Fuzzies - Costing, Presentation & Framing Influences on Decision-Making ~ A Business Optimization Simulation ~." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30412.

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Activity-Based Costing is presented in accounting text books as a costing system that can be used to make valuable managerial decisions. Accounting journals regularly report the successful implementations and benefits of activity-based costing systems for particular businesses. Little experimental or empirical evidence exists, however, that has demonstrated the benefits of activity-based costing under controlled conditions. Similarly, although case studies report conditions that may or may not favor activity-based costing decision making, controlled studies that measure the actual influence of those conditions on the usefulness of activity-based costing information are few. This study looked at the decision usefulness of activity-based costing information under controlled, laboratory settings. An interactive computer simulation tested the ability of 48 accounting majors to optimize profits with and without activity-based costing information and tested to see if presentation format or decision framing would influence their outcomes. The research showed that the activity-based costing information resulted in significantly better profitability decisions and required no additional time. Presentation in graphic (bar charts) or numeric (tabular reports) format did not influence profitability decisions but the graphs took longer for analysis and decision making. Decision framing influences were shown to beneficially affect profitability decisions but did not require additional time. Decision framing was especially helpful with the non-activity based costing information; it had no significant effect on activity-based costing performance.<br>Ph. D.

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Wibowo, Rulianda Purnomo. "Optimal irrigation strategy with limited water availability accounting for the risk from weather uncertainty." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/34148.

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Doctor of Philosophy<br>Department of Agricultural Economics<br>Nathan P. Hendricks<br>Risk averse farmers face a substantial challenge managing irrigation water when they face limited water availability. The two primary reasons for limited water availability in the High Plains Aquifer region of the United States are limited well capacity (i.e., the rate at which groundwater can be extracted) or a constraint imposed by a policy. In this dissertation, I study how risk averse farmers optimally manage limited water availability in the face of weather uncertainty and also the impact of limited water availability on farmer welfare. I use AquaCrop, a daily biophysical crop simulation model, to predict corn yield under alternative irrigation scenarios with historical weather. Since no simple functional form exists for the crop production function, I use discrete optimization and consider 234,256 potential irrigation strategies. I also account for risk preferences by using expected utility analysis to determine the optimal irrigation strategy. Using a daily biophysical model is important because water stress in a short period of the growing season can impact crop yield (even if average water availability throughout the growing season is sufficient) and well capacity is a constraint on daily water use. The daily biophysical crop simulation model accounts for the dynamic response of crop production to water availability. First, I examine how optimal irrigation strategies change due to limited water availability. I find that it is never optimal for irrigators to apply less than a particular minimum instantaneous rate per irrigated acre. An optimal required instantaneous rate implies that a farmer with a low well capacity focuses on adjustment at the extensive margin. On the other hand, farmers who initially have a high well capacity should adjust at the intensive margin in response to well capacity declining. I also find that total water use increases as the degree of risk aversion increases. More risk averse farmers increase water use by increasing irrigation intensity to reduce the variance in corn yields. Another important finding is that a higher well capacity could actually promote less water use because the higher well capacity allows a greater instantaneous rate of application that allows the farmer to decrease irrigation intensity while still maintaining or increasing corn yield. This finding may imply an accelerated rate of groundwater extraction when the groundwater depletion reaches a particular threshold. Second, I analyze the welfare loss due to limited water availability. The relationship between welfare loss and well capacity due to a policy constraint differs by soil type. I found the welfare loss from a water constraint policy does not always increase as well capacity increases. Farmers with very high well capacity may make small or no adjustment at the extensive margin due to a higher instantaneous rate and higher soil water holding capacity. However, that is not the case for a farmer with land that has lower soil water holding capacity as the increase in well capacity results in greater welfare loss. I also investigate the effect of risk averse behavior on the magnitude of welfare loss. I found that the welfare loss per unit of reduced water use is lower for the farmer with more risk aversion. Thus, economic models that ignore risk aversion misestimate the cost of reducing water use. Finally, I investigate the incentive for adopting drip irrigation and its effect on water use. I find that a decrease in well capacity increases the benefits of adopting drip irrigation but is not sufficient to overcome the high initial investment cost without government support. While subsidies of the magnitude offered by current U.S. programs are sufficient to induce drip irrigation adoption, I find that such subsidies have the unintended consequence of increasing total water use, particularly for small well capacities.

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Zaghloul, Said Ismail Said [Verfasser], and Admela [Akademischer Betreuer] Jukan. "Design and Performance Optimization of Authentication, Authorization, and Accounting (AAA) Systems in Mobile Telecommunications Networks / Said Ismail Said Zaghloul ; Betreuer: Admela Jukan." Braunschweig : Technische Universität Braunschweig, 2010. http://d-nb.info/1175828149/34.

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Häggbom, Marcus, and Shayan Nafar. "Mean-Variance Portfolio Selection Accounting for Financial Bubbles: A Mean-Field Type Approach." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252299.

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The phenomenon of financial bubbles is known to have impacted various markets since the seventeenth century. Such bubbles are known to form when the market drastically overvalues the price of an asset, causing its market value to increase hyperbolically, only to suddenly collapse once the untenable perceived future prospects of the asset are realized. Hence, it remains crucial for investors to be able to sell off assets residing within a bubble before they burst and their value is significantly diminished. Thus, portfolio optimization methods capable of accounting for financial bubbles in stock dynamics is a field of great value and interest for market participants. Portfolio optimization with respect to the mean-field is a relatively novel approach to accounting for the bubble-phenomenon. Hence, this paper investigates a previously unattempted method of portfolio optimization, providing a mean-field solution to the mean-variance trade-off problem, as well as providing new definitions of stock dynamics capable of diverting investors from bubbles.<br>Finansiella bubblor är ett fenomen som har påverkat marknader sedan 1600-talet. Bubblor tenderar att skapas när marknaden kraftigt övervärderar en tillgång vilket orsakar en hyperbolisk tillväxt i marknadspriset. Detta följs av en plötslig kollaps. Därför är det viktigt för investerare att kunna minska sin exponering mot aktier som befinner sig i en bubbla, så att risken för stora plötsliga förluster reduceras. Således är portföljoptimering där aktiedynamiken tar hänsyn till bubblor av högt intresse för marknadsdeltagare. Portföljoptimering med avseende på medelfältet är ett relativt nytt tillvägagångssätt för att behandla bubbelfenomen. Av denna anledning undersöks i detta arbete en hittills oprövad lösningsmetod som möjliggör en medelfältslösning till avvägningen mellan förväntad avkastning och risk. Där-utöver presenteras även ett antal nya modeller för aktier som kan bortleda investerare från bubblor.

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Books on the topic "Optimization of accounting"

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SAP performance optimization guide. 6th ed. Galileo Press, 2011.

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SAP R/3 performance optimization: The official SAP guide. Sybex, 1999.

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Jung, Bong Seog. Optimization and calibration of water distribution systems: Exploring evolutionary approaches while accounting for fluid transients. 2005.

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Cost and Optimization in Government: An Introduction to Cost Accounting, Operations Management, and Quality Control, Second Edition. 2nd ed. AUERBACH, 2010.

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WEITZMAN, Martin L. Income, Wealth, and the Maximum Principle. Harvard University Press, 2009.

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Income, Wealth, and the Maximum Principle. Harvard University Press, 2003.

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Weitzman, Martin L. Income, Wealth, and the Maximum Principle. Harvard University Press, 2007.

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Milliken, Christopher, Ehsan Nikbakht, and Andrew Spieler. Traditional Asset Allocation Securities. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190269999.003.0020.

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Asset allocation models have evolved in complexity with the development of modern portfolio theory, but they continue to operate under the assumption of investor rationality and other assumptions that do not hold in the real world. For this reason, academics and industry professionals make efforts to understand the behavioral biases of decision makers and the implications these biases have on asset allocation strategies. This chapter reviews the building blocks of asset allocation, involving stocks, bonds, real estate, and cash. It also examines the history and theory behind two of the most popular portfolio management strategies: mean-variance optimization and the Black-Litterman Model. Finally, the chapter examines five common behavioral biases that have direct implications for asset allocation: familiarity, status quo, framing, mental accounting, and overconfidence. Each behavioral bias discussion contains examples, warning signs, and steps to correct the emotional or cognitive errors in decision making.

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Book chapters on the topic "Optimization of accounting"

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Khan, Aman. "Cost Accounting." In Cost and Optimization in Government. Routledge, 2017. http://dx.doi.org/10.4324/9781315207674-4.

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Nuzhdin, Roman V., Anna N. Polozova, Irina N. Maslova, Natalia I. Ponomareva, and Lyudmila N. Sotnikova. "Optimization Decisions in Accounting." In The Challenge of Sustainability in Agricultural Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72110-7_36.

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Casta, Jean-François, and Cédric Lesage. "Accounting and Controlling in Uncertainty: concepts, techniques and methodology." In Applied Optimization. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4613-0285-8_8.

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Grierson, D. E., and Lei Xu. "Design Optimization of Steel Frameworks Accounting for Semi-Rigid Connections." In Optimization of Large Structural Systems. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-010-9577-8_44.

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Rodemann, Julian, and Thomas Augustin. "Accounting for Gaussian Process Imprecision in Bayesian Optimization." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98018-4_8.

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Siemaszko, Andrzej. "Limit and Shakedown Reliability Optimization Accounting for Nonlinear Geometric Effects." In Inelastic Behaviour of Structures under Variable Repeated Loads. Springer Vienna, 2002. http://dx.doi.org/10.1007/978-3-7091-2558-8_17.

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Krokhicheva, Galina E., Evgeny A. Zhabin, Irina V. Koltyreva, and Sun Shutsyuan. "Optimization of Tax Payments and Their Accounting in the Accounting and Analytical System of the Corporation." In Strategies and Trends in Organizational and Project Management. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94245-8_83.

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Vagner, Ladislav. "Facility Management as a Partner of Cost Controlling at Costs Optimization in the Selected Enterprise." In New Trends in Finance and Accounting. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49559-0_57.

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Stachura, Marcin. "Partial Optimization of Water Distribution System Accounting for Multiobjective System Safety." In Progress in IS. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44711-7_28.

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Lv, Hong, and Hua Feng. "Research on Internal Control Optimization of Enterprises Based on Accounting Informatization." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23062-2_61.

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Conference papers on the topic "Optimization of accounting"

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Lewis, Patrick, Vance Murray, and Christopher Mattson. "Accounting for Changing Customer NeedsWith s-Pareto Frontiers." In 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-9039.

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Yu, Qingmin. "Fair Value Accounting Problems and Coping Strategies." In 2014 Seventh International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2014. http://dx.doi.org/10.1109/cso.2014.88.

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Wang Juan. "Optimization of experimental teaching in accounting information system." In 2013 8th International Conference on Computer Science & Education (ICCSE). IEEE, 2013. http://dx.doi.org/10.1109/iccse.2013.6554106.

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Ahmadisoleymani, Seyed Saeed, and Samy Missoum. "Stochastic Kriging for Crashworthiness Optimization Accounting for Simulation Noise." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22532.

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Abstract Vehicle crash simulations are notoriously costly and noisy. When performing crashworthiness optimization, it is therefore important to include available information to quantify the noise in the optimization. For this purpose, a stochastic kriging can be used to account for the uncertainty due to the simulation noise. It is done through the addition of a non-stationary stochastic process to the deterministic kriging formulation. This stochastic kriging, which can also be used to include the effect of random non-controllable parameters, can then be used for surrogate-based optimization. In this work, a stochastic kriging-based optimization algorithm is proposed with an infill criterion referred to as the Augmented Expected Improvement, which, unlike its deterministic counterpart the Expect Improvement, accounts for the presence of irreducible aleatory variance due to noise. One of the key novelty of the proposed algorithm stems from the approximation of the aleatory variance and its update during the optimization. The proposed approach is applied to the optimization of two problems including an analytical function and a crashwor-thiness problem where the components of an occupant restraint system of a vehicle are optimized.

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Arienti, G., I. Imperiale, S. Reggiani, et al. "Optimization of HV LDMOS devices accounting for packaging interaction." In 2015 IEEE 27th International Symposium on Power Semiconductor Devices & IC's (ISPSD). IEEE, 2015. http://dx.doi.org/10.1109/ispsd.2015.7123450.

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Pakdel, Abdollah. "Selecting Optimal Portfolio Using Particle Swarm Optimization Algorithm." In Annual International Conference on Accounting and Finance (AF 2017). Global Science & Technology Forum (GSTF), 2017. http://dx.doi.org/10.5176/2251-1997_af17.51.

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Yu, Qingmin. "The Analysis of Several Commonly Used Excel Function in Accounting Practice." In 2014 Seventh International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2014. http://dx.doi.org/10.1109/cso.2014.77.

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Jia, Yan. "Design and Optimization of Accounting Computerization System for Small Firms." In 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics. Atlantis Press, 2015. http://dx.doi.org/10.2991/ameii-15.2015.297.

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Yang, Wen-chao, and Qing-hua Meng. "Studies on Optimization of E-commerce Network Accounting and Finance." In Proceedings of the 2017 5th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2017). Atlantis Press, 2018. http://dx.doi.org/10.2991/ieesasm-17.2018.94.

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Xu, Z. M., and S. R. Yang. "THE THERMODYNAMIC OPTIMIZATION OF HEAT EXCHANGERS ACCOUNTING FOR FOULING EFFECTS." In International Heat Transfer Conference 10. Begellhouse, 1994. http://dx.doi.org/10.1615/ihtc10.2190.

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