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Journal articles on the topic 'Efficient allocation'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

ALMEIDA, VINICIO DE SOUZA E., and RICARDO PEREIRA CÂMARA LEAL. "A JOINT EXPERIMENTAL ANALYSIS OF INVESTOR BEHAVIOR IN IPO PRICING METHODS." Revista de Administração de Empresas 55, no. 1 (2015): 14–25. http://dx.doi.org/10.1590/s0034-759020150103.

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This article jointly examines the differences of laboratory versions of the Dutch clock open auction, a sealed-bid auction to represent book building, and a two-stage sealed bid auction to proxy for the “competitive IPO”, a recent innovation used in a few European equity initial public offerings. We investigate pricing, seller allocation, and buyer welfare allocation efficiency and conclude that the book building emulation seems to be as price efficient as the Dutch auction, even after investor learning, whereas the competitive IPO is not price efficient, regardless of learning. The competitiv

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Shioura, Akiyoshi, Ning Sun, and Zaifu Yang. "EFFICIENT STRATEGY PROOF FAIR ALLOCATION ALGORITHMS." Journal of the Operations Research Society of Japan 49, no. 2 (2006): 144–50. http://dx.doi.org/10.15807/jorsj.49.144.

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Jayeola, Dare, Peter O. Olatunji, and Y. J. Aborisade. "Efficient Method for Assets Allocation." International Journal of Research and Innovation in Social Science IX, no. V (2025): 4308–13. https://doi.org/10.47772/ijriss.2025.905000329.

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Asset allocation requires allotting savings among many assets. The goal of investors is to minimize risk at a given returns or/and maximize returns at a specified risk. The aim of this paper is to compare two asset allocations, Black Litterman model (BLM) and Mean Variance Model (MVM). The data used are groundnut oil, palm oil and palm kernel oil. The data is used to estimate values of risk and returns using both asset allocations to estimate risk and return of the three assets. It is observed that BLM minimizes risk and maximizes the return of its portfolio better than MVM.

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Diamond, James T., and Jeff R. Wright. "Efficient Land Allocation." Journal of Urban Planning and Development 115, no. 2 (1989): 81–96. http://dx.doi.org/10.1061/(asce)0733-9488(1989)115:2(81).

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Ray, Korok, and Maris Goldmanis. "Efficient Cost Allocation." Management Science 58, no. 7 (2012): 1341–56. http://dx.doi.org/10.1287/mnsc.1110.1486.

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Murhekar, Aniket, and Jugal Garg. "On Fair and Efficient Allocations of Indivisible Goods." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 6 (2021): 5595–602. http://dx.doi.org/10.1609/aaai.v35i6.16703.

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We study the problem of fair and efficient allocation of a set of indivisible goods to agents with additive valuations using the popular fairness notions of envy-freeness up to one good (EF1) and equitability up to one good (EQ1) in conjunction with Pareto-optimality (PO). There exists a pseudo-polynomial time algorithm to compute an EF1+PO allocation, and a non-constructive proof of existence of allocations that are both EF1 and fractionally Pareto-optimal (fPO). We present a pseudo-polynomial time algorithm to compute an EF1+fPO allocation, thereby improving the earlier results. Our techniqu

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Garg, Jugal, Aniket Murhekar, and John Qin. "Fair and Efficient Allocations of Chores under Bivalued Preferences." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (2022): 5043–50. http://dx.doi.org/10.1609/aaai.v36i5.20436.

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We study the problem of fair and efficient allocation of a set of indivisible chores to agents with additive cost functions. We consider the popular fairness notion of envy-freeness up to one good (EF1) with the efficiency notion of Pareto-optimality (PO). While it is known that EF1+PO allocations exists and can be computed in pseudo-polynomial time in the case of goods, the same problem is open for chores. Our first result is a strongly polynomial-time algorithm for computing an EF1+PO allocation for bivalued instances, where agents have (at most) two disutility values for the chores. To the

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ALI, AHAD, HAMID SEIFODDINI, and JAY LEE. "EFFICIENT MATERIAL ALLOCATIONS IN HIGH-MIX LOW-VOLUME MANUFACTURING." Journal of Advanced Manufacturing Systems 09, no. 02 (2010): 101–16. http://dx.doi.org/10.1142/s021968671000182x.

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Today's globalization market drives industries toward increased expectations on lean production and quick response to the customers. These expectations have put industries under pressure to become more agile under highly dynamic market and uncertain manufacturing environment. An efficient material allocation becomes critical due to dynamics and uncertainty in the manufacturing systems. This research addresses the optimization needs for effective material allocations in high-mix low-volume manufacturing. Multi-constraint based genetic algorithm and intelligent simulation are used for efficient

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Pérez-Nievas, Mikel, José I. Conde-Ruiz, and Eduardo L. Giménez. "Efficiency and endogenous fertility." Theoretical Economics 14, no. 2 (2019): 475–512. http://dx.doi.org/10.3982/te2138.

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This paper explores the properties of the notions of A ‐efficiency and P ‐efficiency, which were proposed by Golosov et al.. (2007), to evaluate allocations in a general overlapping generations setting in which fertility choices are endogenously selected from a continuum and any two agents of the same generation are identical. First, we show that the properties of A ‐efficient allocations vary depending on the criterion used to identify potential agents. If one identifies potential agents by their position in their siblings' birth order, as Golosov, Jones, and Tertilt do, then A ‐efficiency re

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Chaudhury, Bhaskar Ray, Jugal Garg, and Ruta Mehta. "Fair and Efficient Allocations under Subadditive Valuations." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 6 (2021): 5269–76. http://dx.doi.org/10.1609/aaai.v35i6.16665.

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We study the problem of allocating a set of indivisible goods among agents with subadditive valuations in a fair and efficient manner. Envy-Freeness up to any good (EFX) is the most compelling notion of fairness in the context of indivisible goods. Although the existence of EFX is not known beyond the simple case of two agents with subadditive valuations, some good approximations of EFX are known to exist, namely 1/2-EFX allocation and EFX allocations with bounded charity. Nash welfare (the geometric mean of agents' valuations) is one of the most commonly used measures of efficiency. In case o

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Durham, Wayne C. "Computationally Efficient Control Allocation." Journal of Guidance, Control, and Dynamics 24, no. 3 (2001): 519–24. http://dx.doi.org/10.2514/2.4741.

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Edavalath, Sheena, and Manikandasaran S. Sundaram. "Cost-based resource allocation method for efficient allocation of resources in a heterogeneous cloud environment." Scientific Temper 14, no. 04 (2023): 1339–44. http://dx.doi.org/10.58414/scientifictemper.2023.14.4.41.

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Cloud computing is appealing due to features like adaptability, portability, utility service and on-demand service. Cloud resource providers are a source of computing, and each provider delivers different types of resources. In an active cloud environment, timely resource allocation is more important. In order to increase the effectiveness and user-friendliness of resource allocation in the heterogeneous cloud, the paper suggests an efficient cost-based resource allocation (ECRA) method and framework. In the heterogeneous cloud, there is no centralized resource allocation manager (CRAM) to get

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Rudyanto, Astrid. "IMPACT OF CORPORATE SOCIAL RESPONSIBILITY AND CAPITAL ALLOCATION EFFICIENCY ON FAMILY AND NON -FAMILY FIRMS." Humanities & Social Sciences Reviews 7, no. 4 (2019): 617–33. http://dx.doi.org/10.18510/hssr.2019.7482.

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Purpose of the study: Purpose of this study was to examine how family firms differ from non-family firms in the relationship between corporate social responsibility (CSR) and capital allocation efficiency, including slack resources as moderating variables. Methodology: This study used moderated regression analysis and subgroup analysis of nonfinancial companies listed in Indonesia Stock Exchange from 2011-2016. The data were gathered from Thomson Reuters and analyzed using STATA 14 unbalanced panel fixed effect. Main Findings: The results show that family firms and non-family firms

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M, Sumathi, Niranjana B, Akshaya C, Ajitha M, and Bhavadharanee M. "Round Robin Based Efficient Resource Allocation and Utilization in an Organization." International Research Journal of Multidisciplinary Technovation 2, no. 2 (2020): 16–22. http://dx.doi.org/10.34256/irjmt2023.

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In an organization, resource allocation to a request is a complex task. Traditionally, resource allocation is done through manually with high time consumption. Similarly, collision is occurring for allocating a single resource to multiple requests. Thus, leads to complex problems and slow-down the working process. The existing resource allocation technique, allocate resources continuously to a specific request and omit another request. This kind of allocation technique also leads to lots of critical issues. That is the non-allocated process never gets a resource. To overcome these issues, the

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Abul Fotouh, Nagah Abdul Alim Abdul Wahab. "An Alternative Mechanism to Interest Proposed to Achieve Efficient Monetary Capital Allocation in the Islamic Economy." European Journal of Theoretical and Applied Sciences 2, no. 1 (2024): 789–99. http://dx.doi.org/10.59324/ejtas.2024.2(1).70.

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Economic systems aim to achieve efficiency in allocating resources, and this requires setting prices that reflect the true scarcity of these resources. Among these resources is monetary capital, and the question arises about how to achieve the efficiency of monetary capital in the Islamic economic system in which interest is not supposed to exist as it is a form of usury that is forbidden in this system. This research proposes an alternative to interest that is consistent with the value provisions of the Islamic system and can be used to achieve an efficient allocation of monetary capital in t

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Nagah, Abdul Alim Abdul Wahab Abul Fotouh. "An Alternative Mechanism to Interest Proposed to Achieve Efficient Monetary Capital Allocation in the Islamic Economy." European Journal of Theoretical and Applied Sciences 2, no. 1 (2024): 789–99. https://doi.org/10.59324/ejtas.2024.2(1).70.

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Economic systems aim to achieve efficiency in allocating resources, and this requires setting prices that reflect the true scarcity of these resources. Among these resources is monetary capital, and the question arises about how to achieve the efficiency of monetary capital in the Islamic economic system in which interest is not supposed to exist as it is a form of usury that is forbidden in this system. This research proposes an alternative to interest that is consistent with the value provisions of the Islamic system and can be used to achieve an efficient allocation of monetary capital in t

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17

Kerr, Rhonda, and Delia V. Hendrie. "Is capital investment in Australian hospitals effectively funding patient access to efficient public hospital care?" Australian Health Review 42, no. 5 (2018): 501. http://dx.doi.org/10.1071/ah17231.

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Objective This study asks ‘Is capital investment in Australian public hospitals effectively funding patient access to efficient hospital care?’ Methods The study drew information from semistructured interviews with senior health infrastructure officials, literature reviews and World Health Organization (WHO) reports. To identify which systems most effectively fund patient access to efficient hospitals, capital allocation systems for 17 Organisation for Economic Cooperation and Development (OECD) countries were assessed. Results Australian government objectives (equitable access to clinically a

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JIANG, ZHONG-YUAN, MAN-GUI LIANG, SHUAI ZHANG, SHU-JUAN WANG, and DONG-CHAO GUO. "AN EFFICIENT BANDWIDTH ALLOCATION STRATEGY FOR SCALE-FREE NETWORKS." International Journal of Modern Physics C 23, no. 10 (2012): 1250065. http://dx.doi.org/10.1142/s0129183112500659.

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Traffic capacity is critical for various networks and strongly depends on the distribution of link's bandwidth resources. In this paper, we propose a betweenness-based bandwidth allocation strategy in which the bandwidth of each link lij is allocated proportionally to the product (1 + Bi)α(1 + Bj)α, where α is a tunable parameter, and Bi and Bj are the betweenness of node i and node j, respectively. The optimal value of α is achieved by extensive simulations and slightly increases with the network size. Our new bandwidth allocation strategy achieves the highest traffic capacity when compared w

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AlSabbagh, Haider M., and Mohammed Khalid Ibrahim. "Efficient Dynamic Resource Allocation in OFDMA Systems by Firefly Pack Algorithm." International Journal of Computer Network and Information Security 9, no. 3 (2017): 1–10. http://dx.doi.org/10.5815/ijcnis.2017.03.01.

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The resource allocation of Orthogonal Frequency Division Multiple Access (OFDMA) is one of the core issues in the next generation mobile systems. The improvement in the performance and quality of service (QoS) of communication systems is relying upon the efficient utilization of the available communication resources. The resource allocation of the OFDMA systems is mainly depends on both power and subcarrier allocations of each user for different operation scenarios and channel conditions. This paper proposes and applies Firefly Pack Algorithm (FPA) to find the optimal or near optimal power and

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20

Chukwujekwu, Obianefo Aloysius, Isibor Annunciata Chinwe, Umebali, Ejike Emmanuel, and Ahaneku E. Chinwe. "A Stochastic Frontier Analysis of Maize Production Efficiency and Its Climate-Smart Agricultural Practice Determinants in Southeast, Nigeria." International Journal of Multidisciplinary Comprehensive Research 3, no. 2 (2024): 50–61. http://dx.doi.org/10.54660/ijmcr.2024.3.2.50-61.

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Efficient maize production and resource allocation are crucial for agricultural sustainability, particularly in climate-vulnerable areas like Southeast Nigeria. This study employs stochastic frontier analysis (SFA) to investigate the efficiency of maize production and the determinants of allocative efficiency under climate-smart agricultural practices (CSAPs). The study includes 375 maize farmers selected randomly for the research sample. The analysis begins with estimating the efficiency parameter of maize production, revealing a relatively low Sigma-square value (0.029) and a moderate Gamma

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Igarashi, Ayumi, and Dominik Peters. "Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 2045–52. http://dx.doi.org/10.1609/aaai.v33i01.33012045.

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We study the problem of allocating indivisible items to agents with additive valuations, under the additional constraint that bundles must be connected in an underlying item graph. Previous work has considered the existence and complexity of fair allocations. We study the problem of finding an allocation that is Pareto-optimal. While it is easy to find an efficient allocation when the underlying graph is a path or a star, the problem is NP-hard for many other graph topologies, even for trees of bounded pathwidth or of maximum degree 3. We show that on a path, there are instances where no Paret

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Yue, Yisong, Lavanya Marla, and Ramayya Krishnan. "An Efficient Simulation-Based Approach to Ambulance Fleet Allocation and Dynamic Redeployment." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 398–405. http://dx.doi.org/10.1609/aaai.v26i1.8176.

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We present an efficient approach to ambulance fleet allocation and dynamic redeployment, where the goal is to position an entire fleet of ambulances to base locations to maximize the service level (or utility) of the Emergency Medical Services (EMS) system. We take a simulation-based approach, where the utility of an allocation is measured by directly simulating emergency requests. In both the static and dynamic settings, this modeling approach leads to an exponentially large action space (with respect to the number of ambulances). Futhermore, the utility of any particular allocation can only

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Kenny, Danelle, Kim-Huong Nguyen, Zachary Breig, Lana Friesen, and Tracy Comans. "Decisions, Decisions: Observations of Resource Allocation Under Consumer-Directed Care." Healthcare 13, no. 5 (2025): 516. https://doi.org/10.3390/healthcare13050516.

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Introduction: Resource trade-offs are a universal feature of decision-making in healthcare. Public funding for home care is an example of a complex resource allocation decision, requiring balance between the needs of the individual and the capacity of the welfare system to meet those needs across the population. Under consumer-directed care policies, responsibility for resource allocation decisions rests with the care recipient, but there is no existing measure of allocative efficiency resulting from these consumer-led decisions. Our research considers resource allocation decisions by home car

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P. O., Ogba, and Bello M. "Using a Mathematical Model to Evaluate the Efficiency of Memory Allocation Algorithm." Advanced Journal of Science, Technology and Engineering 4, no. 3 (2024): 1–13. http://dx.doi.org/10.52589/ajste-jihpgg70.

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One of the key research areas in operating systems is memory allocation and process management by the operating system. Memory allocation is the process of allocating blocks of memory to different executing processes in order to improve overall system performance. This paper analyses the efficiency of memory allocation algorithms (first fit, best fit and worst fit) in the multiple partition and contiguous memory allocation scheme. A Mathematical model was used on process sizes in terms of percentage internal fragmentation (IF%), percentage external fragmentation (EF%), and percentage total uti

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Gurtuev, Alim, Elena Derkach, and Anzor Sabanchiev. "Efficient multi-period distribution mechanism for the innovation investment system under uncertainty." E3S Web of Conferences 295 (2021): 01058. http://dx.doi.org/10.1051/e3sconf/202129501058.

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In this paper, we study the problem of a venture investor who distributes the budget between several innovation projects under conditions of uncertainty. A common method for solving this problem is through bilateral negotiations with the external evaluation of projects. However, the effectiveness almost entirely depends on the evaluation quality, but external evaluation seldom reduces the knowledge asymmetry for innovation projects. We propose an iterative revelation mechanism for this problem when the investor sequentially offers possible allocations of the limited budget in the form of thres

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Akintoye, Samson, and Antoine Bagula. "Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation." Sensors 19, no. 6 (2019): 1267. http://dx.doi.org/10.3390/s19061267.

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Recently, a massive migration of enterprise applications to the cloud has been recorded in the IT world. One of the challenges of cloud computing is Quality-of-Service management, which includes the adoption of appropriate methods for allocating cloud-user applications to virtual resources, and virtual resources to the physical resources. The effective allocation of resources in cloud data centers is also one of the vital optimization problems in cloud computing, particularly when the cloud service infrastructures are built by lightweight computing devices. In this paper, we formulate and pres

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Sadiya, Thazeen, and Srikantaswamy Mallikarjunaswamy. "An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6452–65. https://doi.org/10.11591/ijece.v13i6.pp6452-6465.

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Now a days, huge amount of data is communicated through channels in wireless network. It requires an efficient parallel operation for the optimal utilization of frequency, time allocation and coding model for signal subspace factorization in smart antenna. In view of this requirement, an efficient reconfigurable optimal source detection and beam allocation algorithm (RoSDBA) is proposed. The proposed algorithm is able to allocate desired signal to the user space to reduce the noise and also for efficient allocation of subspace to remove disturbance in all directions. The proposed method effici

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Durham, Wayne C. "Efficient, Near-Optimal Control Allocation." Journal of Guidance, Control, and Dynamics 22, no. 2 (1999): 369–72. http://dx.doi.org/10.2514/2.4390.

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FREYENS, BENOÎT PIERRE, and CHRIS JONES. "Efficient Allocation of Radio Spectrum." Journal of Public Economic Theory 16, no. 1 (2013): 1–23. http://dx.doi.org/10.1111/jpet.12045.

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Freedman, Barry. "Efficient Post-Retirement Asset Allocation." North American Actuarial Journal 12, no. 3 (2008): 228–41. http://dx.doi.org/10.1080/10920277.2008.10597519.

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Lai, T. L., and Herbert Robbins. "Asymptotically efficient adaptive allocation rules." Advances in Applied Mathematics 6, no. 1 (1985): 4–22. http://dx.doi.org/10.1016/0196-8858(85)90002-8.

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Naparstek, Oshri, S. M. Zafaruddin, Amir Leshem, and Eduard A. Jorswieck. "Distributed Energy Efficient Channel Allocation." IEEE Transactions on Green Communications and Networking 3, no. 4 (2019): 1152–66. http://dx.doi.org/10.1109/tgcn.2019.2934868.

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McAfee, R. Preston. "Efficient allocation with continuous quantities." Journal of Economic Theory 53, no. 1 (1991): 51–74. http://dx.doi.org/10.1016/0022-0531(91)90142-q.

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Benabbou, Nawal, Mithun Chakraborty, Ayumi Igarashi, and Yair Zick. "Finding Fair and Efficient Allocations for Matroid Rank Valuations." ACM Transactions on Economics and Computation 9, no. 4 (2021): 1–41. http://dx.doi.org/10.1145/3485006.

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In this article, we present new results on the fair and efficient allocation of indivisible goods to agents whose preferences correspond to matroid rank functions . This is a versatile valuation class with several desirable properties (such as monotonicity and submodularity), which naturally lends itself to a number of real-world domains. We use these properties to our advantage; first, we show that when agent valuations are matroid rank functions, a socially optimal (i.e., utilitarian social welfare-maximizing) allocation that achieves envy-freeness up to one item (EF1) exists and is computat

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Wu, Fan, Yuming Mao, Xiaoyan Huang, and Supeng Leng. "Optimal Resource Allocation for Energy-Efficient OFDMA Networks." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/594024.

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This paper focuses on radio resource allocation in OFDMA networks for maximizing the energy efficiency subject to the data rate requirements of users. We propose the energy-efficient water-filling structure to obtain the closed-form optimal energy-efficient power allocation for a given subcarrier assignment. Moreover, we establish a new sufficient condition for the optimal energy-efficient subcarrier assignment. Based on the theoretical analysis, we develop a joint energy-efficient resource allocation (JERA) algorithm to maximize the energy efficiency. Simulation results show that the JERA alg

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Córdoba, Juan Carlos, and Xiying Liu. "Malthusian stagnation is efficient." Theoretical Economics 17, no. 1 (2022): 415–60. http://dx.doi.org/10.3982/te3542.

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This article studies socially optimal allocations, from the point of view of a benevolent social planner, in environments characterized by fixed resources, endogenous fertility, and full information. Individuals in our environment are fully rational and altruistic toward their descendants. Our model allows for rich heterogeneity of abilities, preferences for children, and costs of raising children. We show that the planner's optimal allocations are efficient in the sense of Golosov et al. (2007). We also show that efficient allocation in the endogenous fertility case differs significantly from

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Batsaris, Marios, Dimitris Kavroudakis, Euripides Hatjiparaskevas, and Panagiotis Agouroiannis. "Spatial Decision Support System for Efficient School Location-Allocation." European Journal of Geography 12, no. 4 (2021): 31–44. http://dx.doi.org/10.48088/ejg.m.bat.12.4.031.044.

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In Greece, a lack of a planning strategy was identified in the context of allocating students to schools. Particularly, the Secondary Educational Management of Lesvos Prefecture along with school Principals decide upon student allocation based on empirical knowledge and approximation techniques. As a consequence, during the school season of 2018-2019 capacity and proximity limitations were violated. This study introduces a Spatial Decision Support System (SDSS) to assist school location-allocation decisions in future seasons. The objective of the proposed SDSS is to minimize commute-to-school

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Thazeen, Sadiya, and Mallikarjunaswamy Srikantaswamy. "An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6452. http://dx.doi.org/10.11591/ijece.v13i6.pp6452-6465.

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<span lang="EN-US">Now a <span>days, huge amount of data is communicated through channels in wireless network. It requires an efficient parallel operation for the optimal utilization of frequency, time allocation and coding model for signal subspace factorization in smart antenna. In view of this requirement, an efficient reconfigurable optimal source detection and beam allocation algorithm (RoSDBA) is proposed. The proposed algorithm is able to allocate desired signal to the user space to reduce the noise and also for efficient allocation of subspace to remove disturbance in all d

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Moufid, Ismail, Zineb En-nay, Soukaina Naciri, and Hassane El Markhi. "Optimizing distribution system performance: A comprehensive review of power loss minimization techniques." International Journal of Power Electronics and Drive Systems (IJPEDS) 16, no. 2 (2025): 710. https://doi.org/10.11591/ijpeds.v16.i2.pp710-718.

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This article presents a thorough examination of contemporary techniques aimed at minimizing losses in distribution networks by strategically allocating capacitors, distributed generators (DG), and distribution static synchronous compensators (DSTATCOM). Through an extensive review of background literature and the analysis of current methodologies, the study distills insights from research articles spanning four decades. The survey encompasses diverse single and multi-objective methods, considering various constraints in addressing the distribution system loss minimization problem. Key findings

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TIRTOSUHARTO, DARIUS. "THE IMPACT OF FISCAL DECENTRALIZATION AND STATE ALLOCATIVE EFFICIENCY ON REGIONAL GROWTH IN INDONESIA." Journal of International Commerce, Economics and Policy 01, no. 02 (2010): 287–307. http://dx.doi.org/10.1142/s1793993310000160.

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This paper provides a new empirical analysis on the effects of fiscal decentralization on economic growth with the inclusion of a state allocative efficiency factor in the growth model. Using Indonesia as a case study, this study aims to reveal whether the state allocative efficiency will impact growth through better allocation of public goods. Following a two-stage empirical method, the expenditure efficiency of Indonesia's 26 state governments over a 10-year period (1996–2005) is constructed by using Data Envelopment Analysis (DEA) and a panel data regression is utilized in the growth model.

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Oyamaguchi, Natsumi, Hiroyuki Tajima, and Isamu Okada. "Model of Multi-branch Trees for Efficient Resource Allocation." Algorithms 13, no. 3 (2020): 55. http://dx.doi.org/10.3390/a13030055.

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Although exploring the principles of resource allocation is still important in many fields, little is known about appropriate methods for optimal resource allocation thus far. This is because we should consider many issues including opposing interests between many types of stakeholders. Here, we develop a new allocation method to resolve budget conflicts. To do so, we consider two points—minimizing assessment costs and satisfying allocational efficiency. In our method, an evaluator’s assessment is restricted to one’s own projects in one’s own department, and both an executive’s and mid-level e

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VEE, VOON-YEE, and WEN-JING HSU. "A SCALABLE AND EFFICIENT STORAGE ALLOCATOR ON SHARED-MEMORY MULTIPROCESSORS." Parallel Processing Letters 11, no. 02n03 (2001): 313–25. http://dx.doi.org/10.1142/s0129626401000610.

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An efficient dynamic storage allocator is important for time-critical parallel programs. In this paper, we present a fast and simple parallel allocator for fixed size blocks on shared-memory multiprocessors. We show both theoretically and empirically that the allocator incurs very low lock contention. The allocator is tested with parallel simulation applications with frequent allocation and release requests. The results confirm that our allocator is indeed very efficient.

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Guruprasad, H. S., and H. D. Maheshappa. "Efficient Resource Allocation in a Distributed VoD Using Agent Technology." International Journal of Engineering and Technology 1, no. 5 (2009): 461–66. http://dx.doi.org/10.7763/ijet.2009.v1.85.

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Zhong, Xian, Pu Miao, and Xiaoqing Wang. "Enhanced Gain Difference Power Allocation for NOMA-Based Visible Light Communications." Electronics 13, no. 4 (2024): 776. http://dx.doi.org/10.3390/electronics13040776.

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With the escalating demand for high-data-rate wireless services, visible light communication (VLC) technology has emerged as a promising complement to traditional radio frequency wireless networks. To further enhance the achievable rate and error performance in non-orthogonal multiple access-based VLC downlinks, an efficient power allocation scheme named enhanced gain difference power allocation (EGDPA) is proposed for a multiple-input multiple-output VLC system. The power factors are determined by considering users’ channel gains and utilizing the residual allocation principle, which focuses

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Vijayaraj, N., and T. Senthil Murugan. "Resource Allocation in Cloud using Multi Bidding Model with User Centric Behavior Analysis." Recent Advances in Computer Science and Communications 13, no. 5 (2020): 1008–19. http://dx.doi.org/10.2174/2213275912666190404160733.

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Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resource

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Cookson, Benjamin, Soroush Ebadian, and Nisarg Shah. "Constrained Fair and Efficient Allocations." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 13 (2025): 13718–26. https://doi.org/10.1609/aaai.v39i13.33499.

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Fairness and efficiency have become the pillars of modern fair division research, but prior work on achieving both simultaneously is largely limited to the unconstrained setting. We study fair and efficient allocations of indivisible goods under additive valuations and various types of allocation feasibility constraints, and demonstrate the unreasonable effectiveness of the maximum Nash welfare (MNW) solution in this previously uncharted territory. Our main result is that MNW allocations are 1/2-envy-free up to one good (EF1) and Pareto optimal under the broad family of (arbitrary) matroid con

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Pakzad-Hurson, Bobak. "Stable and Efficient Resource Allocation with Contracts." American Economic Journal: Microeconomics 15, no. 2 (2023): 627–59. http://dx.doi.org/10.1257/mic.20210109.

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Consider indivisible-object allocation with contracts, such as college admissions, where contracts specify majors. Can a designer guarantee a stable and (student) efficient matching? I show that contracts put stability and efficiency at odds; a necessary condition to ensure these properties is student-lexicographic priorities—schools must rank contracts from “second-tier” students consecutively. I present the weakest restriction guaranteeing stability and efficiency, and characterize necessary and sufficient conditions for any mechanism within a general class to deliver a stable and efficient

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Fang, Zheng, Tao Ma, Jun Huang, Zhao Niu, and Fang Yang. "Efficient Task Allocation in Multi-Agent Systems Using Reinforcement Learning and Genetic Algorithm." Applied Sciences 15, no. 4 (2025): 1905. https://doi.org/10.3390/app15041905.

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The multi-agent task allocation problem has attracted substantial research interest due to the increasing demand for effective solutions in large-scale and dynamic environments. Despite advancements, traditional algorithms often fall short in optimizing efficiency and adaptability within complex scenarios. To address this shortcoming, we propose a genetic algorithm-enhanced PPO (GAPPO) algorithm, specifically developed to enhance decision-making in challenging task allocation contexts. GAPPO employs a deep reinforcement learning framework, enabling each agent to independently evaluate its surr

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Budish, Eric, Yeon-Koo Che, Fuhito Kojima, and Paul Milgrom. "Designing Random Allocation Mechanisms: Theory and Applications." American Economic Review 103, no. 2 (2013): 585–623. http://dx.doi.org/10.1257/aer.103.2.585.

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Randomization is commonplace in everyday resource allocation. We generalize the theory of randomized assignment to accommodate multi-unit allocations and various real-world constraints, such as group-specific quotas (“controlled choice”) in school choice and house allocation, and scheduling and curriculum constraints in course allocation. We develop new mechanisms that are ex ante efficient and fair in these environments, and that incorporate certain non-additive substitutable preferences. We also develop a “utility guarantee” technique that limits ex post unfairness in random allocations, sup

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Kousika, N., J. Babitha Thangamalar, N. Pritha, Beulah Jackson, and M. Aiswarya. "Enhanced Wireless Communication Optimization with Neural Networks, Proximal Policy Optimization and Edge Computing for Latency and Energy Efficiency." International Journal of Electrical and Electronics Research 12, no. 2 (2024): 721–26. http://dx.doi.org/10.37391/ijeer.120250.

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This research proposes a novel approach for efficient resource allocation in wireless communication systems. It combines dynamic neural networks, Proximal Policy Optimization (PPO), and Edge Computing Orchestrator (ECO) for latency-aware and energy-efficient resource allocation. The proposed system integrates multiple components, including a dynamic neural network, PPO, ECO, and a Mobile Edge Computing (MEC) server. The experimental methodology involves utilizing the NS-3 simulation platform to assess latency and energy efficiency in resource allocation within a wireless communication network,

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