Relevant bibliographies by topics / Cost Optimality

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

Academic literature on the topic 'Cost Optimality'

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

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Journal articles on the topic "Cost Optimality"

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Whang, Seungjin. "Cost Allocation Revisited: An Optimality Result." Management Science 35, no. 10 (1989): 1264–73. http://dx.doi.org/10.1287/mnsc.35.10.1264.

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Hernández-Lerma, O., J. C. Hennet, and J. B. Lasserre. "Average cost Markov Decision Processes: Optimality conditions." Journal of Mathematical Analysis and Applications 158, no. 2 (1991): 396–406. http://dx.doi.org/10.1016/0022-247x(91)90244-t.

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Bettiol, Piernicola, and Nathalie Khalil. "Necessary optimality conditions for average cost minimization problems." Discrete & Continuous Dynamical Systems - B 24, no. 5 (2019): 2093–124. http://dx.doi.org/10.3934/dcdsb.2019086.

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Jiang, Xiaoyue, Kan Cheng, and Viliam Makis. "On the optimality of repair-cost-limit policies." Journal of Applied Probability 35, no. 04 (1998): 936–49. http://dx.doi.org/10.1017/s0021900200016648.

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An optimal repair/replacement problem for a single-unit repairable system with minimal repair and random repair cost is considered. The existence of the optimal policy is established using results of the optimal stopping theory, and it is shown that the optimal policy is a ‘repair-cost-limit’ policy, that is, there is a series of repair-cost-limit functionsgn(t),n= 1, 2,…, such that a unit of agetis replaced at thenth failure if and only if the repair costC(n,t) ≥gn(t); otherwise it is minimally repaired. If the repair cost does not depend onn, then there is a single repair cost limit functiong(t), which is uniquely determined by a first-order differential equation with a boundary condition.
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Hahn, Minhi, and Jin-Sok Hyun. "Advertising Cost Interactions and the Optimality of Pulsing." Management Science 37, no. 2 (1991): 157–69. http://dx.doi.org/10.1287/mnsc.37.2.157.

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Jiang, Xiaoyue, Kan Cheng, and Viliam Makis. "On the optimality of repair-cost-limit policies." Journal of Applied Probability 35, no. 4 (1998): 936–49. http://dx.doi.org/10.1239/jap/1032438389.

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An optimal repair/replacement problem for a single-unit repairable system with minimal repair and random repair cost is considered. The existence of the optimal policy is established using results of the optimal stopping theory, and it is shown that the optimal policy is a ‘repair-cost-limit’ policy, that is, there is a series of repair-cost-limit functions gn(t), n = 1, 2,…, such that a unit of age t is replaced at the nth failure if and only if the repair cost C(n, t) ≥ gn(t); otherwise it is minimally repaired. If the repair cost does not depend on n, then there is a single repair cost limit function g(t), which is uniquely determined by a first-order differential equation with a boundary condition.
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Thépot, Jacques, and Jean-Luc Netzer. "On the optimality of the full-cost pricing." Journal of Economic Behavior & Organization 68, no. 1 (2008): 282–92. http://dx.doi.org/10.1016/j.jebo.2008.04.007.

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Brauner, Nadia, Gerd Finke, Yakov Shafransky, and Dzmitry Sledneu. "Lawler’s minmax cost algorithm: optimality conditions and uncertainty." Journal of Scheduling 19, no. 4 (2015): 401–8. http://dx.doi.org/10.1007/s10951-014-0413-x.

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Kuo, Yueh-Cheng, and Tsung-Lin Lee. "Tracking local optimality for cost parameterized optimization problems." Computer Physics Communications 185, no. 2 (2014): 572–77. http://dx.doi.org/10.1016/j.cpc.2013.10.021.

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RICHTER, HENDRIK. "ON OPTIMALITY OF LOCAL CONTROL OF CHAOS." International Journal of Bifurcation and Chaos 11, no. 03 (2001): 871–79. http://dx.doi.org/10.1142/s0218127401002389.

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Local control stabilizes chaotic motions by applying a state feedback only within a possible strongly bounded state space region of control (SSRC). In this paper, we consider the question of when a local control is optimal. Therefore, a cost function is employed that accounts for two components: time and control force needed until stabilization occurs. We present analytical and numerical results on the dependency of the cost on the size of the SSRC and a weighting constant between the two components of the cost function.
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Dissertations / Theses on the topic "Cost Optimality"

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Løtveit, Sjur Vullum. "Cost Optimality of Energy Systems in Zero Emission Buildings in Early Design Phase." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23249.

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The building sector accounts for a significant proportion of industrial countries total energy use, thus a cut in this sector has been regarded necessary to reach future climate goals. An important measure in this context is the introduction of zero emission buildings, buildings which can be defined as having a net zero annual energy demand. This master thesis is centered around finding cost optimal energy supply systems for zero emission buildings at an early stage of the building process. This thesis is closely linked to the Ådland project, currently the largest pilot project for the Research Center on Zero Emission Buildings. The testing was performed on a four floor building block located in Bergen. The ZEB-definition used was net zero primary energy consumption, where primary energy factors were used as weighting factors for the various energy carriers. Two types of primary energy factors were tested; total primary energy factors and non-renewable primary energy factors. Five different energy supply packages were investigated: Bio+PV, CHP+PV, DH+PV, HP+ST+PV and CHP+ST+PV. The base heating systems were dimensioned to cover the heating demand (space heating and domestic hot water), while PV was dimensioned so that the building reached the ZEB balance. Excess electricity was exported to the grid and sold to the local power company. The simulation tool IDA-ICE was used both for modeling the building and performing the energy simulations. The cost calculations followed the European Cost Optimal Methodology, calculating the net present value of all costs attributed to the implementation of the different packages (investments, annual costs and residual values) over a calculation period of 30 years. Both a pure financial and a macroeconomic calculation were performed for all packages. Sensitivity analyses were performed on the energy price escalation as well as investment costs.When total primary energy factors were used, the package HP+ST+PV proved to be the optimal package in all the different scenarios considered. The macroeconomic and the financial results were almost identical, mainly because of the low CO2-prices. The sensitivity analyses showed that the result is very stable with respect to uncertainties in both investment costs and future energy costs. For non-renewable primary energy factors the results showed that the package HP+ST+PV is best for both normal and high future energy price development, while the package Bio+PV was the best alternative for low energy price developments. The sensitivity analysis on investment cost showed the result for low energy price development was very sensitive for changes in investment costs, while for medium and high energy price development the result were more stable. Overall, for the energy supply packages considered and the primary energy factors used in this thesis, the conclusion is that HP+ST+PV is the cost optimal energy supply solution for the evaluated building.
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Barbado, Baranda Pablo. "Cost Optimality of Energy Systems in Zero Emission Buildings in Early Design Phase." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for energi- og prosessteknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26088.

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Abstract During the uncontrolled consumption period the building sector has come to account one of the greatest proportions of greenhouse gas emissions and energy use in industrial countries. In this context, European countries have decided to address the environmental challenge by promoting the use of renewable energies and the implementation of low energy consumption requirements. For these reasons, zero emission buildings, which have a net zero annual energy demand, were regarded as a possible solution. And everything points to believe that they will continue to be crucial in a recent future. Consultants and contractors have shown the need towards a better understanding and knowledge regarding the selection of renewable energy supply solution for ZEBs. Accordingly, this Mater Thesis aims to explain how to use the new methodology for a cost-optimal selection of energy systems in early design phase analysis. It consists on a number of guidelines and Excel files that serve as templates for different calculations. The project is part of the development of a decision support method that automates the process of selecting the best system, in this particular case in office buildings. This early design phase study is not only focused on giving a cost-optimal alternative but also on performing a full analysis in terms of energy performance. It also shows the steps for both the energy systems dimension and the selection of office building parameters. A concept office building with four storeys is selected and modelled in connection with the Norwegian ZEB centre’s project report 8. Following the Norwegian NZEB definition, the simulation software IDA-ICE is used as a tool for modelling the building and simulating the energy demand. It analyses six different energy supply combinations which were selected between available renewable technologies in Norway. In comparison to the previous study applied in residential buildings, this project introduces the building’s cooling demand as a new feature of the analysis. Therefore, reversible heat pumps, free-cooling with the ground and chillers are also taken into account. Further, energy systems are economically compared by using global cost calculations, following the European Cost Optimal Methodology. Results are given in a graph where global costs and CO2 emissions produced by the energy balance of the building are shown in each axis. Finally the cost-optimal energy supply, the system with lower global costs, is selected like the most suitable option. In addition, the building energy performance is also discussed as an important parameter to be considered in the decision making process. At the end, the sensitivity analysis shows stable results with regard to changes in energy price development and PV area.
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Brown, Geoffrey L. "Nonlinear Locomotion: Mechanics, energetics, and optimality of walking in circles and other curved paths." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339169797.

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Handford, Matthew Lawrence. "Simulating human-prosthesis interaction and informing robotic prosthesis design using metabolic optimization." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1539707296618987.

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Liang, Yifan. "Separation optimality and generalized source-channel coding for time-varying channels /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Brathwaite, Joy Danielle. "Value-informed space systems design and acquisition." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43748.

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Investments in space systems are substantial, indivisible, and irreversible, characteristics that make them high-risk, especially when coupled with an uncertain demand environment. Traditional approaches to system design and acquisition, derived from a performance- or cost-centric mindset, incorporate little information about the spacecraft in relation to its environment and its value to its stakeholders. These traditional approaches, while appropriate in stable environments, are ill-suited for the current, distinctly uncertain and rapidly changing technical, and economic conditions; as such, they have to be revisited and adapted to the present context. This thesis proposes that in uncertain environments, decision-making with respect to space system design and acquisition should be value-based, or at a minimum value-informed. This research advances the value-centric paradigm by providing the theoretical basis, foundational frameworks, and supporting analytical tools for value assessment of priced and unpriced space systems. For priced systems, stochastic models of the market environment and financial models of stakeholder preferences are developed and integrated with a spacecraft-sizing tool to assess the system's net present value. The analytical framework is applied to a case study of a communications satellite, with market, financial, and technical data obtained from the satellite operator, Intelsat. The case study investigates the implications of the value-centric versus the cost-centric design and acquisition choices. Results identify the ways in which value-optimal spacecraft design choices are contingent on both technical and market conditions, and that larger spacecraft for example, which reap economies of scale benefits, as reflected by their decreasing cost-per-transponder, are not always the best (most valuable) choices. Market conditions and technical constraints for which convergence occurs between design choices under a cost-centric and a value-centric approach are identified and discussed. In addition, an innovative approach for characterizing value uncertainty through partial moments, a technique used in finance, is adapted to an engineering context and applied to priced space systems. Partial moments disaggregate uncertainty into upside potential and downside risk, and as such, they provide the decision-maker with additional insights for value-uncertainty management in design and acquisition. For unpriced space systems, this research first posits that their value derives from, and can be assessed through, the value of information they provide. To this effect, a Bayesian framework is created to assess system value in which the system is viewed as an information provider and the stakeholder an information recipient. Information has value to stakeholders as it changes their rational beliefs enabling them to yield higher expected pay-offs. Based on this marginal increase in expected pay-offs, a new metric, Value-of-Design (VoD), is introduced to quantify the unpriced system's value. The Bayesian framework is applied to the case of an Earth Science satellite that provides hurricane information to oil rig operators using nested Monte Carlo modeling and simulation. Probability models of stakeholders' beliefs, and economic models of pay-offs are developed and integrated with a spacecraft payload generation tool. The case study investigates the information value generated by each payload, with results pointing to clusters of payload instruments that yielded higher information value, and minimum information thresholds below which it is difficult to justify the acquisition of the system. In addition, an analytical decision tool, probabilistic Pareto fronts, is developed in the Cost-VoD trade space to provide the decision-maker with additional insights into the coupling of a system's probable value generation and its associated cost risk.
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Brassard, Serge. "Méthodologie et modélisation floues des connaissances dans l'activité de conception en électrotechnique : application à la réalisation d'un système expert d'aide à la conception de l'appareillage électrique." Grenoble INPG, 1989. http://www.theses.fr/1989INPG0093.

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La conception de l'appareillage électrique relève dune méthodologie généralement fort complexe. Les problèmes posés par la conception de l'appareillage électrique sont analysés et montrent l'inefficacité des méthodes mathématiques. Une approche ensembliste floue est exposée et permet de modéliser l'aspect heuristique du problème ainsi que les aspects scientifiques et industriels de la conception. Un système expert d'aide à la conception des disjoncteurs à arc tournant a été réalisé. Les résultats obtenus sont commentés et montrent l'intérêt d'une telle approche
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De, Roquemaurel Marie. "Planification de coût optimal basée sur les CSP pondérés." Phd thesis, Université Paul Sabatier - Toulouse III, 2009. http://tel.archives-ouvertes.fr/tel-00394415.

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Un des challenges actuels de la planification est la résolution de problèmes pour lesquels on cherche à optimiser la qualité d'une solution telle que le coût d'un plan-solution. Dans cette thèse, nous développons une méthode originale pour la planification de coût optimal dans un cadre classique non temporel et avec des actions valuées.<br /><br />Pour cela, nous utilisons une structure de longueur fixée appelée graphe de planification. L'extraction d'une solution optimale, à partir de ce graphe, est codée comme un problème de satisfaction de contraintes pondérées (WCSP). La structure spécifique des WCSP obtenus permet aux solveurs actuels de trouver, pour une longueur donnée, une solution optimale dans un graphe de planification contenant plusieurs centaines de nœuds. <br /><br />Nous présentons ensuite plusieurs méthodes pour déterminer la longueur maximale des graphes de planification nécessaire pour garantir l'obtention d'une solution de coût optimal. Ces méthodes incluent plusieurs notions universelles comme par exemple la notion d'ensembles d'actions indispensables pour lesquels toutes les solutions contiennent au moins une action de l'ensemble. <br /><br />Les résultats expérimentaux effectués montrent que l'utilisation de ces méthodes permet une diminution de 60% en moyenne de la longueur requise pour garantir l'obtention d'une solution de coût optimal. La comparaison expérimentale avec d'autres planificateurs montre que l'utilisation du graphe de planification et des CSP pondérés pour la planification optimale est possible en pratique même si elle n'est pas compétitive, en terme de temps de calcul, avec les planificateurs optimaux récents.
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Buonasera, Tammy Yvonne. "Expanding Archaeological Approaches to Ground Stone: Modeling Manufacturing Costs, Analyzing Absorbed Organic Residues, and Exploring Social Dimensions of Milling Tools." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/268534.

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Although ground stone artifacts comprise a substantial portion of the archaeological record, their use as an important source of information about the past has remained underdeveloped. This is especially true for milling tools (mortars, pestles, grinding slabs and handstones) used by hunter-gatherers. Three studies that apply novel techniques and approaches to prehistoric milling technology are presented here. Together they demonstrate that substantial opportunities exist for new avenues of inquiry in the study of these artifacts. The first combines a simple optimization model from behavioral ecology with experimental data to weigh manufacturing costs against gains in grinding efficiency for mobile hunter-gatherers. Results run counter to widespread assumptions that mobile hunter-gatherers should not spend time shaping grinding surfaces on milling tools. Next, gas chromatography-mass spectrometry (GC-MS) is used to analyze lipid preservation in modified rock features in dry caves at Gila Cliff Dwellings National Monument, New Mexico. A high concentration of lipids, derived from processing a seed resource, was recovered from a grinding surface in these caves. The lipid content in this surface is comparable to amounts recovered from select pottery sherds that have been used for radiocarbon dating. The third study uses synchronic and diachronic variability in morphology, use-wear, and symbolic content to analyze ground stone milling tools from mortuary contexts in the San Francisco Bay Area of California. Archaeological and ethnographic evidence supports the inferred association of certain mortars with feasting and ritual activities. Differences in the representation of some of these forms in male and female graves may reflect changes in the roles of women and men in community ritual and politics.
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Roquemaurel, Marie de. "Planification de coût optimal basée sur les CSP pondérés." Toulouse 3, 2009. http://thesesups.ups-tlse.fr/520/.

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Un des challenges actuels de la planification est la résolution de problèmes pour lesquels on cherche à optimiser la qualité d'une solution telle que le coût d'un plan-solution. Dans cette thèse, nous développons une méthode originale pour la planification de coût optimal dans un cadre classique non temporel et avec des actions valuées. Pour cela, nous utilisons une structure de longueur fixée appelée graphe de planification. L'extraction d'une solution optimale, à partir de ce graphe, est codée comme un problème de satisfaction de contraintes pondérées (WCSP). La structure spécifique des WCSP obtenus permet aux solveurs actuels de trouver, pour une longueur donnée, une solution optimale dans un graphe de planification contenant plusieurs centaines de nœuds. Nous présentons ensuite plusieurs méthodes pour déterminer la longueur maximale des graphes de planification nécessaire pour garantir l'obtention d'une solution de coût optimal. Ces méthodes incluent plusieurs notions universelles comme par exemple la notion d'ensembles d'actions indispensables pour lesquels toutes les solutions contiennent au moins une action de l'ensemble. Les résultats expérimentaux effectués montrent que l'utilisation de ces méthodes permet une diminution de 60% en moyenne de la longueur requise pour garantir l'obtention d'une solution de coût optimal. La comparaison expérimentale avec d'autres planificateurs montre que l'utilisation du graphe de planification et des CSP pondérés pour la planification optimale est possible en pratique même si elle n'est pas compétitive, en terme de temps de calcul, avec les planificateurs optimaux récents<br>For planning to come of age, plans must be judged by a measure of quality, such as the total cost of actions. This thesis describes an optimal-cost planner in the classical planning framework except that each action has a cost. We code the extraction of an optimal plan, from a planning graph with a fixed number k of levels, as a weighted constraint satisfaction problem (WCSP). The specific structure of the resulting WCSP means that a state-of-the-art exhaustive solver was able to find an optimal plan in planning graphs containing several thousand nodes. We present several methods for determining a tight bound on the number of planning-graph levels required to ensure finding a globally optimal plan. These include universal notions such as indispensable sets S of actions: every valid plan contains at least one action in S. Different types of indispensable sets can be rapidly detected by solving relaxed planning problems related to the original problem. On extensive trials on benchmark problems, the bound on the number of planning-graph levels was reduced by an average of 60% allowing us to solve many instances to optimality. Thorough experimental investigations demonstrated that using the planning graph in optimal planning is a practical possibility, although not competitive, in terms of computation time, with a recent state-of-the-art optimal planner
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Books on the topic "Cost Optimality"

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Newberry, David M. Cost recovery from optimally designed roads. University of Cambridge Department of Applied Economics, 1987.

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Cohen, Susan I. On the optimality of incentive contracts in the presence of joint costs. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1988.

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Frisse, Mark E., and Karl E. Misulis, eds. Essentials of Clinical Informatics. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190855574.001.0001.

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The American healthcare system is increasingly dependent on clinical informatics professionals to ensure that information technology contributes fully to measurably improve patient outcomes, enhance individual and organizational efficiency, and lower overall healthcare costs. Although the United States is the most expensive (per capita) healthcare system in the world, it ranks among the lowest in patient access and health outcomes. In the future, an aging population, complex comorbidities, family financial distress, changing cultural expectations, and unsustainable healthcare prices will necessitate a radically broader view of clinical care. Our technologies need to be optimally employed to promote health and support healthcare in a financially sustainable way. Clinical informatics is tasked with improving health outcomes while reducing costs. To realize these aims, clinical informatics must understand relationships among clinical care, workflows, technology, management, and public policy. This book provides an introduction to critical skills required of effective clinical informatics professionals.
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Book chapters on the topic "Cost Optimality"

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Marinakis, Yannis, Athanasios Migdalas, and Panos M. Pardalos. "Cost Allocation in Combinatorial Optimization Games." In Pareto Optimality, Game Theory And Equilibria. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-77247-9_9.

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Behrmann, Gerd, Ansgar Fehnker, Thomas Hune, Kim Larsen, Paul Pettersson, and Judi Romijn. "Efficient Guiding Towards Cost-Optimality in UPPAAL." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45319-9_13.

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Guo, Xianping, and Weiping Zhu. "Optimality Conditions for CTMDP with Average Cost Criterion." In Markov Processes and Controlled Markov Chains. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4613-0265-0_10.

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Bischof, Holger, Sergei Gorlatch, and Emanuel Kitzelmann. "Cost Optimality and Predictability of Parallel Programming with Skeletons." In Euro-Par 2003 Parallel Processing. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45209-6_97.

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Subrahmanyam, M. Bala. "Necessary Conditions for Optimality in Problems with Nonstandard Cost Functionals." In Finite Horizon H∞ and Related Control Problems. Birkhäuser Boston, 1995. http://dx.doi.org/10.1007/978-1-4612-4272-7_1.

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Secomandi, Nicola. "An Opportunity Cost View of Base-Stock Optimality for the Warehouse Problem." In The Handbook of Integrated Risk Management in Global Supply Chains. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118115800.ch16.

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Sethi, Suresh P., and Hanqin Zhang. "Hierarchical Production Controls for a Stochastic Manufacturing System with Long-Run Average Cost: Asymptotic Optimality." In Stochastic Analysis, Control, Optimization and Applications. Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1784-8_37.

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Beyer, Dirk, Suresh P. Sethi, and Ramaswamy Sridhar. "Average-Cost Optimality of a Base-Stock Policy for a Multi-Product Inventory Model with Limited Storage." In Decision & Control in Management Science. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3561-1_13.

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Guo, Xianping, and Onésimo Hernández-Lerma. "Discount Optimality for Nonnegative Costs." In Stochastic Modelling and Applied Probability. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02547-1_4.

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Guo, Xianping, and Onésimo Hernández-Lerma. "Average Optimality for Nonnegative Costs." In Stochastic Modelling and Applied Probability. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02547-1_5.

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Conference papers on the topic "Cost Optimality"

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Grottke, Michael, and Benjamin Schleich. "Cost Optimality in Testing and Rejuvenation." In 2012 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2012. http://dx.doi.org/10.1109/issrew.2012.84.

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MEJRI, Imen, Safa BHAR LAYEB, and Farah ZEGHAL MANSOUR. "Solving the Discrete Cost Multicommodity Network Design Problem to Optimality." In 2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). IEEE, 2018. http://dx.doi.org/10.1109/3ict.2018.8855755.

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Feinberg, Eugene A., Pavlo O. Kasyanov, and Michael Z. Zgurovsky. "Optimality conditions for total-cost Partially Observable Markov Decision Processes." In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6760790.

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Cagan, Jonathan, and Brian C. Williams. "First-Order Necessary Conditions for Robust Optimality." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0344.

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Abstract The first-order necessary conditions of optimality are extended to include information about robust design — cost insensitivity to model inaccuracies and changes in design specification, as well as the manufacturing tolerances treated in more traditional approaches. In these extended conditions, the Lagrangian is formulated as a tradeoff between cost and cost variability, where variability is measured as the flatness and curvature of the objective relative to local variations in design variables and constraints. During optimization these conditions allow cost and robustness to be considered simultaneously at each iteration.
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Noghani, Kyoomars Alizadeh, Andreas Kassler, and Javid Taheri. "On the Cost-Optimality Trade-off for Service Function Chain Reconfiguration." In 2019 IEEE 8th International Conference on Cloud Networking (CloudNet). IEEE, 2019. http://dx.doi.org/10.1109/cloudnet47604.2019.9064107.

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Feinberg, E. A., and M. E. Lewis. "Optimality inequalities for average cost MDPs and their inventory control applications." In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1429445.

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Liu, Su, and Jinfeng Liu. "A terminal cost for economic model predictive control with local optimality." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963238.

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Ku¨bler, Oliver, and Michael Havbro Faber. "Optimality and Acceptance Criteria in Offshore Design." In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28427.

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The optimal design of offshore structures is formulated as a decision theoretical problem. The objective is to maximize the net present value of the service life benefit. The general optimization problem is simplified by taking into account the cost impacts of only one possible reconstruction of the structure. The analytical solution to this problem has been derived for the case, where failure events follow a stationary Poisson process. The service life benefit is formulated in terms of the production profile, the design and construction costs, the costs of failure and the costs of reconstruction. In order to assess the effect of potential loss of lives, the costs of fatalities are included applying the concept of the Imp lied Costs of Averting a Fatality (ICAF). The suggested approach to optimal design, which can be applied for any type of offshore structure, is exemplified considering the special case of steel structures. Here it is standard to represent the ultimate structural capacity in terms of the Reserve Strength Ratio (RSR). For the purpose of illustration, the relation between material usage and RSR valid for monopod structures is applied. Optimal RSR’s and annual failure rates are assessed for both manned and un-manned structures covering a wide range of different realistic ratios between the potential income and costs of construction, failure and re construction costs.
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Feinberg, Eugene A., and Yan Liang. "On the average-cost optimality equations and convergence of discounted-cost relative value functions for inventory control problems with quasiconvex cost functions." In 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, 2017. http://dx.doi.org/10.1109/cdc.2017.8263733.

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Ali, Ahmed M., and Dirk Söffker. "Real-Time Applicable Power Management of Multi-Source Fuel Cell Vehicles Using Situation-Based Model Predictive Control." 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/detc2020-22383.

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Abstract Power management in all-electric powertrains has a significant potential to optimally handle the limited energy and power density of electric power sources. Situation-based power management strategies (SB-PMSs), defining optimized solutions related to specific vehicle situations, offer the ability to reduce computational requirements and enhance the solution optimality of simple rule-based algorithms. Moreover, the local optimality of SB-PMSs can be addressed by considering online optimization of the situated solutions for limited horizons. This paper presents a novel PMSs using model predictive control (MPC) to define optimal control strategies based on situated solutions for fuel cell hybrid vehicles. Vehicle states are defined in terms of multiple characteristic variables and power management decisions are optimized offline for each vehicle states. Prediction of vehicle states is conducted using statistical predictive model based on state transitions in a number of driving cycles. Preoptimized solutions related to predicted states are iterated online to achieve better optimality over the look-ahead horizon. Results analysis from online testing revealed the ability of SB-MPC to improve the optimality of situation-based solutions and hence reduce total energy cost in different driving cycles.
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