Auswahl der wissenschaftlichen Literatur zum Thema „Resource allocations problems“
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Zeitschriftenartikel zum Thema "Resource allocations problems"
Lin, Shan-Shan. „Due-Window Assignment and Resource Allocation Scheduling with Truncated Learning Effect and Position-Dependent Weights“. Discrete Dynamics in Nature and Society 2020 (08.10.2020): 1–7. http://dx.doi.org/10.1155/2020/9260479.
Der volle Inhalt der QuelleFu, Lei, Junmin Wang, Shiwu Wang, Hongxi Peng und Zihan Gui. „Study of Water Resource Allocation and Optimization Considering Reclaimed Water in a Typical Chinese City“. Sustainability 15, Nr. 1 (02.01.2023): 819. http://dx.doi.org/10.3390/su15010819.
Der volle Inhalt der QuelleBudish, Eric, Yeon-Koo Che, Fuhito Kojima und Paul Milgrom. „Designing Random Allocation Mechanisms: Theory and Applications“. American Economic Review 103, Nr. 2 (01.04.2013): 585–623. http://dx.doi.org/10.1257/aer.103.2.585.
Der volle Inhalt der QuelleEtor, Comfort R., Ekpenyong E. Ekanem und Mary A. Sule. „Access and Resource Allocation to Education in Nigeria“. International Education Studies 13, Nr. 3 (18.02.2020): 79. http://dx.doi.org/10.5539/ies.v13n3p79.
Der volle Inhalt der QuelleTrang, Le Hong, und Hoang Huu Viet. „Optimally stable matchings for resource allocations“. Vietnam Journal of Science and Technology 60, Nr. 2 (21.04.2022): 257–69. http://dx.doi.org/10.15625/2525-2518/16107.
Der volle Inhalt der QuelleGlazebrook, K. D. „Bounds for discounted stochastic scheduling problems“. Journal of Applied Probability 28, Nr. 4 (Dezember 1991): 791–801. http://dx.doi.org/10.2307/3214682.
Der volle Inhalt der QuelleGlazebrook, K. D. „Bounds for discounted stochastic scheduling problems“. Journal of Applied Probability 28, Nr. 04 (Dezember 1991): 791–801. http://dx.doi.org/10.1017/s0021900200042704.
Der volle Inhalt der QuelleCigler, Ludek, und Boi Faltings. „Symmetric Subgame Perfect Equilibria in Resource Allocation“. Proceedings of the AAAI Conference on Artificial Intelligence 26, Nr. 1 (20.09.2021): 1326–32. http://dx.doi.org/10.1609/aaai.v26i1.8233.
Der volle Inhalt der QuelleChen, Ye, Nikola Marković, Ilya O. Ryzhov und Paul Schonfeld. „Data-Driven Robust Resource Allocation with Monotonic Cost Functions“. Operations Research 70, Nr. 1 (Januar 2022): 73–94. http://dx.doi.org/10.1287/opre.2021.2145.
Der volle Inhalt der QuelleCigler, L., und B. Faltings. „Symmetric Subgame-Perfect Equilibria in Resource Allocation“. Journal of Artificial Intelligence Research 49 (26.02.2014): 323–61. http://dx.doi.org/10.1613/jair.4166.
Der volle Inhalt der QuelleDissertationen zum Thema "Resource allocations problems"
Hicks, Dixon Kendall. „Applicability of computer spreadsheet simulation for solving resource allocations problems“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from the National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA267436.
Der volle Inhalt der QuelleVu, Dong Quan. „Models and solutions of strategic resource allocation problems : approximate equilibrium and online learning in Blotto games“. Electronic Thesis or Diss., Sorbonne université, 2020. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2020SORUS120.pdf.
Der volle Inhalt der QuelleResource allocation problems are broadly defined as situations involving decisions on distributing a limited budget of resources in order to optimize an objective. In particular, many of them involve interactions between competitive decision-makers which can be well captured by game-theoretic models. In this thesis, we choose to investigate resource allocation games. We primarily focus on the Colonel Blotto game (CB game). In the CB game, two competitive players, each having a fixed budget of resources, simultaneously distribute their resources toward n battlefields. Each player evaluates each battlefield with a certain value. In each battlefield, the player who has the higher allocation wins and gains the corresponding value while the other loses and gains zero. Each player's payoff is her aggregate gains from all the battlefields. First, we model several prominent variants of the CB game and their extensions as one-shot complete-information games and analyze players' strategic behaviors. Our first main contribution is a class of approximate (Nash) equilibria in these games for which we prove that the approximation error can be well-controlled. Second, we model resource allocation games with combinatorial structures as online learning problems to study situations involving sequential plays and incomplete information. We make a connection between these games and online shortest path problems (OSP). Our second main contribution is a set of novel regret-minimization algorithms for generic instances of OSP under several restricted feedback settings that provide significant improvements in regret guarantees and running time in comparison with existing solutions
Muñoz, i. Solà Víctor. „Robustness on resource allocation problems“. Doctoral thesis, Universitat de Girona, 2011. http://hdl.handle.net/10803/7753.
Der volle Inhalt der QuelleAquesta tesi se centra en l'elaboració de tècniques que consideren la incertesa alhora de cercar solucions robustes, és a dir solucions que puguin continuar essent vàlides encara que hi hagi canvis en l'entorn. Particularment, introduïm el concepte de robustesa basat en reparabilitat, on una solució robusta és una que pot ser reparada fàcilment en cas que hi hagi incidències. La nostra aproximació es basa en lògica proposicional, codificant el problema en una fórmula de satisfactibilitat Booleana, i aplicant tècniques de reformulació per a la generació de solucions robustes. També presentem un mecanisme per a incorporar flexibilitat a les solucions robustes, de manera que es pugui establir fàcilment el grau desitjat entre robustesa i optimalitat de les solucions.
Resource allocation problems usually include uncertainties that can produce changes in the data of the problem. These changes may cause difficulties in the applicability of the solutions.
This thesis is focused in the elaboration of techniques that take into account such uncertainties while searching for robust solutions, i.e. solutions that can remain valid even if there are changes in the environment. Particularly, we introduce the concept of robustness based on reparability, where a robust solution is one that can be easily repaired when unexpected events occur. Our approach is based in propositional logic, encoding the problem to a Boolean formula, and applying reformulation techniques in order to generate robust solutions. Additionally, we present a mechanism to incorporate flexibility to the robust solutions, so that one can easily set the desired degree between optimality and robustness.
Hosein, Patrick Ahamad. „A class of dynamic nonlinear resource allocation problems“. Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14258.
Der volle Inhalt der QuelleIncludes bibliographical references (leaves 213-214).
by Patrick Ahamad Hosein.
Ph.D.
Lakshmanan, Hariharan 1980. „Resource allocation problems in stochastic sequential decision making“. Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/47736.
Der volle Inhalt der QuelleIncludes bibliographical references (p. 159-162).
In this thesis, we study resource allocation problems that arise in the context of stochastic sequential decision making problems. The practical utility of optimal algorithms for these problems is limited due to their high computational and storage requirements. Also, an increasing number of applications require a decentralized solution. We develop techniques for approximately solving certain class of resource allocation problems that arise in the context of stochastic sequential decision making problems that are computationally efficient with a focus on decentralized algorithms where appropriate. The first resource allocation problem that we study is a stochastic sequential decision making problem with multiple decision makers (agents) with two main features 1) Partial observability Each agent may not have complete information regarding the system 2) Limited Communication - Each agent may not be able to communicate with all other agents at all times. We formulate a Markov Decision Process (MDP) for this problem. The features of partial observability and limited communication impose additional computational constraints on the exact solution of the MDP. We propose a scheme for approximating the optimal Q function and the optimal value function associated with this MDP as a linear combination of preselected basis functions. We show that the proposed approximation scheme leads to decentralization of the agents' decisions thereby enabling their implementation under limited communication. We propose a linear program, ALP, for selecting the parameters for combining the basis functions. We establish bounds relating the approximation error due to the choice of the parameters selected by the ALP with the best possible error given the choice of basis functions.
(cont.) Motivated by the need for a decentralized solution to the ALP, which is equivalent to a resource allocation problem with separable, concave objective function, we analyze a general class of resource allocation problems with separable concave objective functions. We propose a distributed algorithm for this class of problems when the objective function is differentiable and establish its convergence and convergence rate properties. We develop a smoothing scheme for non-differentiable objective functions and extend the algorithm for this case. Finally, we build on these results to extend the decentralized algorithm to accommodate non-negativity constraints on the resources. Numerical investigations on the performance of the developed algorithm show that our algorithm is competitive with its centralized counterpart. The second resource allocation problem that we study is the problem of optimally accepting or rejecting arriving orders in a Make-To-Order (MTO) manufacturing firm. We model the production facility of the MTO manufacturing firm as a queue and view the time of the production facility as a resource that needs to be optimally allotted between current and future orders. We formulate the Order Acceptance Problem under two arrival processes - Poisson process (OAP-P), and Bernoulli Process (OAP-B) and formulate both problems as MDPs. We provide insights into the structure of the optimal order acceptance policy for OAP-B under the assumption of First Come First Served (FCFS) scheduling of accepted orders.
(cont.) We investigate a class of randomized order acceptance policies for OAP-B called static policies that are practically relevant due to their ease of implementation and develop a procedure for computing the policy gradient for any static policy. Using these results for OAP-B, we propose 4 heuristics for OAP-P. We numerically investigate the performance of the proposed heuristics and compare their performance with other heuristics reported in literature. One of our proposed heuristics, FCFS-ValueFunction outperforms other heuristics under a variety of conditions while also being easy to implement.
by Hariharan Lakshmanan.
Ph.D.
Chen, Gang. „On scheduling and resource allocation problems with uncertainty“. [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0002303.
Der volle Inhalt der QuelleVemulapalli, Manish Goldie. „Resource allocation problems in communication and control systems“. Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3547.
Der volle Inhalt der QuelleZhu, Zhanguo. „Scheduling problems with consumable resource allocation and learning effect“. Troyes, 2011. http://www.theses.fr/2011TROY0011.
Der volle Inhalt der QuelleThis thesis addresses scheduling problems with consumable resource allocation and learning effect. In traditional deterministic scheduling problems, job processing times are assumed to be constant. However, this assumption is not always appropriate in many real life production and service operations since practical issues, including limited consumable resources, human characteristics (learning effect), usually affect job processing times, which change the whole scheduling process and lead to new characteristics to decision-making and scheduling results. It is therefore necessary and reasonable to study scheduling problems with these features. Based on the above two issues, this thesis mainly concerns four scheduling problems including group technology, rate-modifying activity (RMA), past-sequence-dependent setup times, and due-windows. It is worth to note that RMA which reflects the situations of ma-chines is also a key factor considered. It is involved in all studied problems except the first one. This thesis is also a work considering comprehensively new characteristics of consumable resources, human, and machines although we just organize this thesis from the viewpoint of consumable resource allocation and learning effect. For each problem, we propose a scheduling model, design an exact algorithm, and analyze the complexity
Zhao, Haiquan. „Measurement and resource allocation problems in data streaming systems“. Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34785.
Der volle Inhalt der QuelleCelik, Melih. „Resource allocation problems under uncertainty in humanitarian supply chains“. Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52302.
Der volle Inhalt der QuelleBücher zum Thema "Resource allocations problems"
Naoki, Katoh, Hrsg. Resource allocation problems: Algorithmic approaches. Cambridge, Mass: MIT Press, 1988.
Den vollen Inhalt der Quelle findenWang, Xinshang. Online Algorithms for Dynamic Resource Allocation Problems. [New York, N.Y.?]: [publisher not identified], 2017.
Den vollen Inhalt der Quelle finden1948-, Langholtz Harvey J., Hrsg. Resource-allocation behavior. Boston: Kluwer Academic Publishers, 2003.
Den vollen Inhalt der Quelle findenMark, Isaac R., und Plott Charles R, Hrsg. The allocation of scarce resources: Experimental economics and the problem of allocating airport slots. Boulder: Westview Press, 1989.
Den vollen Inhalt der Quelle findenSalzhanit︠s︡yn, A. I. Sovremennye problemy razvitii︠a︡ materialʹnoĭ bazy otrasleĭ sot︠s︡ialʹnoĭ sfery Rossii. Moskva: Izd-vo OOO "ProfVariant", 2002.
Den vollen Inhalt der Quelle findenBuenaventura, Elioth Mirsha Sanabria. On the Misclassification Cost Problem and Dynamic Resource Allocation Models for EMS. [New York, N.Y.?]: [publisher not identified], 2022.
Den vollen Inhalt der Quelle findenRahders, Ralf. Verfahren und Probleme der Bestimmung des optimalen Werbebudgets: Eine modellorientierte Analyse unter besonderer Berücksichtigung dynamischer Aspekte und Entscheidungen bei mehrfacher Zielsetzung. Idstein: Schulz-Kirchner, 1989.
Den vollen Inhalt der Quelle findenKöckeritz, Antje. Distributing medical resources: An application of cooperative bargaining theory to an allocation problem in medicine. Frankfurt am Main: Peter Lang, 2012.
Den vollen Inhalt der Quelle findenUnited, States Congress House Committee on Government Reform Subcommittee on National Security Veterans Affairs and International Relations. VA health care: Structural problems, superficial solutions : hearing before the Subcommittee on National Security, Veterans Affairs, and International Relations of the Committee on Government Reform, House of Representatives, One Hundred Seventh Congress, second session, May 14, 2002. Washington: U.S. G.P.O., 2003.
Den vollen Inhalt der Quelle findenAn inquiry into well-being and destitution. Oxford: Clarendon Press, 1993.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Resource allocations problems"
Balicki, J., und Z. Kitowski. „Hopfield’s Artificial Neural Networks In Multiobjective Optimization Problems of Resource Allocations Control“. In ROMANSY 11, 355–62. Vienna: Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2666-0_41.
Der volle Inhalt der QuelleKatoh, Naoki, und Toshihide Ibaraki. „Resource Allocation Problems“. In Handbook of Combinatorial Optimization, 905–1006. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4613-0303-9_14.
Der volle Inhalt der QuelleKatoh, Naoki, Akiyoshi Shioura und Toshihide Ibaraki. „Resource Allocation Problems“. In Handbook of Combinatorial Optimization, 2897–988. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-7997-1_44.
Der volle Inhalt der QuelleYang, Song, Nan He, Fan Li und Xiaoming Fu. „Resource Allocation Problems Formulation and Analysis“. In Resource Allocation in Network Function Virtualization, 7–22. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4815-2_2.
Der volle Inhalt der QuelleParsaeefard, Saeedeh, Ahmad Reza Sharafat und Nader Mokari. „Nonconvex Robust Problems“. In Robust Resource Allocation in Future Wireless Networks, 145–231. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50389-9_4.
Der volle Inhalt der QuelleStańczak, Sławomir, Marcin Wiczanowski und Holger Boche. „Chapter 5: Resource Allocation Problem in Communications Networks“. In Resource Allocation in Wireless Networks, 91–128. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11818762_5.
Der volle Inhalt der QuelleZhang, Donghui, und Yang Du. „Resource Allocation Problems in Spatial Databases“. In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-7993-3_315-2.
Der volle Inhalt der QuelleZhang, Donghui, und Yang Du. „Resource Allocation Problems in Spatial Databases“. In Encyclopedia of Database Systems, 2419–23. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_315.
Der volle Inhalt der QuelleMoulin, Hervé, und William Thomson. „Axiomatic Analysis of Resource Allocation Problems“. In Social Choice Re-examined, 101–20. London: Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1007/978-1-349-25849-9_9.
Der volle Inhalt der QuelleZhang, Donghui, und Yang Du. „Resource Allocation Problems in Spatial Databases“. In Encyclopedia of Database Systems, 3216–21. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_315.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Resource allocations problems"
Yin, Steven, Shatian Wang, Lingyi Zhang und Christian Kroer. „Dominant Resource Fairness with Meta-Types“. In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/68.
Der volle Inhalt der QuelleVu, Dong Quan, Patrick Loiseau und Alonso Silva. „Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games“. In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/72.
Der volle Inhalt der QuelleSadok, Hugo, Miguel Elias Mitre Campista und Luis Henrique Maciel Kosmalski Costa. „Improving Software Middleboxes and Datacenter Task Schedulers“. In XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbrc_estendido.2019.7780.
Der volle Inhalt der QuelleSadok, Hugo, Miguel Elias M. Campista und Luis Henrique M. K. Costa. „Improving Software Middleboxes and Datacenter Task Schedulers“. In XXXII Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/ctd.2019.6334.
Der volle Inhalt der QuelleYuen, Sheung Man, und Warut Suksompong. „Approximate Envy-Freeness in Graphical Cake Cutting“. In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/326.
Der volle Inhalt der QuelleKyropoulou, Maria, Warut Suksompong und Alexandros A. Voudouris. „Almost Envy-Freeness in Group Resource Allocation“. In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/57.
Der volle Inhalt der QuelleS. Sankar, Govind, Anand Louis, Meghana Nasre und Prajakta Nimbhorkar. „Matchings with Group Fairness Constraints: Online and Offline Algorithms“. In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/53.
Der volle Inhalt der QuelleImran, Faisal, Khuram Shahzad, Aurangzeab Aurangzeab Butt und Jussi Kantola. „Structural challenges to adopt digital transformation in industrial organizations: A multiple case study“. In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002231.
Der volle Inhalt der QuelleBott, Terry F., und Stephen W. Eisenhawer. „A Structured Approach to Resource Allocation“. In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2998.
Der volle Inhalt der QuelleBiswas, Arpita, und Siddharth Barman. „Fair Division Under Cardinality Constraints“. In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/13.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Resource allocations problems"
Hero, Alfred, und Demosthenis Teneketzis. Detection and resource Allocation Problems in ATR Systems. Fort Belvoir, VA: Defense Technical Information Center, März 2002. http://dx.doi.org/10.21236/ada405534.
Der volle Inhalt der QuellePforr, Tobias, Fabian Pape und Steffen Murau. After the Allocation: What Role for the Special Drawing Rights System? Institute for New Economic Thinking Working Paper Series, März 2022. http://dx.doi.org/10.36687/inetwp180.
Der volle Inhalt der QuelleBlair, W. D., und G. A. Watson. Benchmark Problem for Radar Resource Allocation and Tracking Maneuvering Targets in the Presence of ECM. Fort Belvoir, VA: Defense Technical Information Center, September 1996. http://dx.doi.org/10.21236/ada286909.
Der volle Inhalt der QuelleChen, Pan, Mei Ieng Lam, Tong Leong Si und Yu-Tao Xiang. Prevalence of poor sleep quality among the general population in China: a meta-analysis of epidemiological studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2023. http://dx.doi.org/10.37766/inplasy2023.4.0055.
Der volle Inhalt der QuelleSteiner, Roberto, Alberto Carrasquilla und Alberto Alesina. Decentralization in Colombia. Inter-American Development Bank, September 2002. http://dx.doi.org/10.18235/0008531.
Der volle Inhalt der QuelleIssa, Mohsen, Ali Alawieh und Hussein Daoud. Concrete Bridge Deck Crack Sealing. Illinois Center for Transportation, März 2024. http://dx.doi.org/10.36501/0197-9191/24-007.
Der volle Inhalt der QuelleVargas, Fernando, Alejandro Rasteletti und Gustavo Crespi. Productivity in Services in Latin America and the Caribbean. Inter-American Development Bank, April 2014. http://dx.doi.org/10.18235/0006983.
Der volle Inhalt der QuelleCorrales, Maria Elena, und Lourdes Alvarez. IDB-9: Evaluation of IDB-9 Commitments for Haiti. Inter-American Development Bank, März 2013. http://dx.doi.org/10.18235/0010521.
Der volle Inhalt der QuelleKomba, Aneth, und Richard Shukia. An Analysis of the Basic Education Curriculum in Tanzania: The Integration, Scope, and Sequence of 21st Century Skills. Research on Improving Systems of Education (RISE), Februar 2023. http://dx.doi.org/10.35489/bsg-rise-wp_2023/129.
Der volle Inhalt der QuelleKavalsky, Basil, Jose Ignacio Sembler, Monika Huppi und Diether Beuermann. IDB-9: Knowledge Products. Inter-American Development Bank, März 2013. http://dx.doi.org/10.18235/0010524.
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