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Journal articles on the topic 'Management optimization'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Podolchak, N., and B. Chepil. "Optimization of administrative management costs." Economics, Entrepreneuship, Management 2, no. 1 (2015): 53–58. http://dx.doi.org/10.23939/eem2015.01.053.

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2

Costoiu, M., A. Ioana, A. Semenescu, and D. Marcu. "EAF Management Optimization." IOP Conference Series: Materials Science and Engineering 161 (November 2016): 012104. http://dx.doi.org/10.1088/1757-899x/161/1/012104.

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Hemalatha, Mrs S., Deepak T, Dinesh J, and Harshad D. "Garbage Truck Route Optimization- Smart Waste Management." International Journal of Research Publication and Reviews 6, no. 1 (2025): 3744–53. https://doi.org/10.55248/gengpi.6.0125.0530.

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4

G, Surya Prakash Reddy. "TMCRO: Traffic Management based on Cognitive Radio Optimization." International Journal of Psychosocial Rehabilitation 24, no. 5 (2020): 2769–80. http://dx.doi.org/10.37200/ijpr/v24i5/pr201980.

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5

Nadeyko, M. "SOCIAL RESPONSIBILITY MANAGEMENT OPTIMIZATION." Ekonomika ta derzhava, no. 2 (February 25, 2021): 131. http://dx.doi.org/10.32702/2306-6806.2021.2.131.

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6

Cooke, Roger, and Janos Pinter. "Optimization in risk management." Civil Engineering Systems 6, no. 3 (1989): 122–28. http://dx.doi.org/10.1080/02630258908970552.

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7

Baranowski, T. M., and E. J. LeBoeuf. "Consequence Management Utilizing Optimization." Journal of Water Resources Planning and Management 134, no. 4 (2008): 386–94. http://dx.doi.org/10.1061/(asce)0733-9496(2008)134:4(386).

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8

Turdiqulovich, Jonibek Usmonov. "Optimization of Global Information Flows in Transport System Management." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 2024–32. http://dx.doi.org/10.5373/jardcs/v12sp7/20202319.

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9

Xabibullayev, Ibrokhim, Ruslana Zhovnovach, and Mariia Petrova. "MODEL OF ASSORTMENT OPTIMIZATION AND INVENTORY MANAGEMENT IN ENTERPRISE." Economics and Finance 9, no. 1 (2021): 31–46. http://dx.doi.org/10.51586/2311-3413.2021.9.1.31.46.

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The actual problems of work in the sphere of organization of supply and sale are considered, the existing developments in the sphere of modeling and optimization of commercial activity of the wholesale trading enterprises are analyzed. The necessity of a comprehensive approach to improving the commercial activities of wholesalers is substantiated. The composition of the solutions included in the integrated approach is determined by the sole purpose, practical possibilities of its implementation and implementation at the wholesale enterprises and is based on the analysis of actual problems of t

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10

Bakhov, Ivan, and Elina Boichenko. "Labor Market Management: Analysis, Control and Optimization of Employment." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 587–94. http://dx.doi.org/10.5373/jardcs/v11sp10/20192846.

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11

Uysal, Arif Cagatay, Gulizar Ozyurt Tarakcioglu, Akdeniz Ince, and Iremnaz Kosem. "RAPID ASSESSMENT OF COASTAL FLOODING VULNERABILITY OF HERITAGE SITES: OPTIMIZATION AND LIMITATIONS." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 184. https://doi.org/10.9753/icce.v38.management.184.

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The risks of losing cultural heritage whether natural values or historical artifacts enhanced the importance of assessing the vulnerability of these sites to climate change impacts. Coastal flooding and inundation vulnerability of these sites are being assessed at different scales, focusing on one site (Anzidei et al., 2020) to all sites of a continent (Vousdoukas et al., 2022). For regional to larger-scale assessments, the assessment methods tend to be desk-based using indicators and simpler flood mapping approaches. A rapid assessment approach is a practical choice considering the high numbe

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12

Onaolapo, A. K., and B. T. Abe. "An Extensive Assessment of the Energy Management and Design of Battery Energy Storage in Renewable Energy Systems." WSEAS TRANSACTIONS ON POWER SYSTEMS 19 (May 9, 2024): 146–70. http://dx.doi.org/10.37394/232016.2024.19.17.

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Many benefits are derivable when renewable energy systems (RES) are integrated with battery energy storage systems (BESS). However, appropriate energy management techniques should be adopted to realize optimal benefits. Many BESS operations’ optimization approaches are available in RES with various techno-economic, environmental, and dispatch-related outputs. BESS operations are optimized using different methods. Past studies have mainly concentrated on certain renewable energy systems designed for specific purposes, such as distributed generation or large-scale. This paper thoroughly examines

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Yang, Zhiqian, Xianyou Wu, Qiuhua Chen, Aisikaer, Liangnian Lv, and Lei Wu. "Research on the Design of Integrated Energy Management and Optimization Control Systems for Novel Power Systems." Scalable Computing: Practice and Experience 25, no. 2 (2024): 653–60. http://dx.doi.org/10.12694/scpe.v25i2.2531.

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This research paper is determining the impact of integrated energy management and optimization control for Novel power systems. Research objectives have been made based on integrating power system for reducing power consumption based on optimization parameters. Optimal control is mainly dealing with control law by finding out a given system and delivering certain criteria for achieving goals. There are mainly three parts for problem optimization purposes those are included decision, constraints and objective functions. Four different objectives has been made those are mainly discussed about th

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14

Tashbaev, Bobir O'razboy o'g'li. "OPTIMIZATION OF PUBLIC DEBT MANAGEMENT." Theoretical & Applied Science 96, no. 04 (2021): 42–44. http://dx.doi.org/10.15863/tas.2021.04.96.9.

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15

Bochkovskyi, A. "OPTIMIZATION OF OCCUPATIONAL RISK MANAGEMENT." Bulletin of Lviv State University of Life Safety, no. 17 (August 7, 2018): 32–40. http://dx.doi.org/10.32447/20784643.17.2018.04.

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The analysis of regulations in the field of labour safety and risks management was conducted. Several systemic methodological problems relevant to labour safety management system were identified. The main problems, complicating the realization of occupational risks management process are: uncertainty of purposes, complication of realization procedure and absence of tools for its optimization. To eliminate these problems optimal method of occupational risks management, based on mathematical models, was developed and proposed. Results of this study prove that the models should include indexes re

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16

Kshivets, Oleg. "Esophageal Cancer: Optimization of Management." Open Cardiovascular and Thoracic Surgery Journal 1, no. 1 (2008): 1–11. http://dx.doi.org/10.2174/1876533500801010001.

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17

Mărgineanu, C., and D. Lixăndroiu. "Optimization of industrial management processes." IOP Conference Series: Materials Science and Engineering 1009 (January 16, 2021): 012039. http://dx.doi.org/10.1088/1757-899x/1009/1/012039.

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18

Oliinyk, Viktor, and Olga Kozmenko. "Optimization of investment portfolio management." Serbian Journal of Management 14, no. 2 (2019): 373–87. http://dx.doi.org/10.5937/sjm14-16806.

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19

G., Vignesh. "Optimization of Database Management System." International Journal of Business Intelligents 6, no. 2 (2017): 42–44. http://dx.doi.org/10.20894/ijbi.105.006.002.004.

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20

Cywiński, Marcin. "OPTIMIZATION PROCESSES IN WAREHOUSE MANAGEMENT." Globalization, the State and the Individual 28, no. 2 (2021): 74–85. http://dx.doi.org/10.5604/01.3001.0015.6594.

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This article aims to show the essence and importance of optimizing warehouse processes. Efficiency itself is an inseparable element of development, it drives the industry and allows for constant development. The idea behind the optimization of warehouse processes is an important element of business development, thanks to optimization you can save both time and money, and the pursuit of self-improvement should guide every organization striving for excellence in terms of services offered and the manner and time of order execution.

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21

Munavalli, Jyoti R., Shyam Vasudeva Rao, Aravind Srinivasan, A. Srinivas, and Frits van Merode. "The Optimization in Workflow Management." Journal of Health Management 18, no. 1 (2016): 21–30. http://dx.doi.org/10.1177/0972063415625570.

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22

Klingenberg, B., and R. J. Brown. "Optimization of residential property management." Property Management 24, no. 4 (2006): 397–414. http://dx.doi.org/10.1108/02637470610671622.

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23

Tsang, Albert H. C., W. K. Yeung, Andrew K. S. Jardine, and Bartholomew P. K. Leung. "Data management for CBM optimization." Journal of Quality in Maintenance Engineering 12, no. 1 (2006): 37–51. http://dx.doi.org/10.1108/13552510610654529.

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24

Syan, Lim Chia, and Soo-Hong Park. "Optimization of Ship Management System." Journal of the Korea institute of electronic communication sciences 8, no. 6 (2013): 839–46. http://dx.doi.org/10.13067/jkiecs.2013.8.6.839.

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25

Černý, Jan. "Fleet Management—Selected Optimization Problems." IFAC Proceedings Volumes 30, no. 8 (1997): 593–96. http://dx.doi.org/10.1016/s1474-6670(17)43885-7.

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26

Sahoo, Surya, Seongbae Kim, Byung-In Kim, Bob Kraas, and Alexander Popov. "Routing Optimization for Waste Management." Interfaces 35, no. 1 (2005): 24–36. http://dx.doi.org/10.1287/inte.1040.0109.

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27

Friedman, Kenneth, James P. Heaney, Miguel Morales, and John Palenchar. "Water demand management optimization methodology." Journal - American Water Works Association 103, no. 9 (2011): 74–84. http://dx.doi.org/10.1002/j.1551-8833.2011.tb11534.x.

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28

Балобанов, O., and N. Fedchun. "Optimization of captain’s safety management." Uzhhorod National University Herald. Series: Law 3, no. 75 (2023): 144–49. http://dx.doi.org/10.24144/2307-3322.2022.75.3.23.

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The article is devoted to the maritime safety issues in terms of captain’s management activity. Effective and safe management of captains can be achieved by identifying the importance of considering psychophysiological factors in the selection of seamen personnel, including captains, in conjunction with their managerial qualifications and high level of legal culture (knowledge and real willingness to strictly follow legal prescriptions and regulations), and by using a formal safety assessment method in relation to maritime crew management risks. The authors made a conclusion that the cau

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29

Alaria, Satish Kumar, and Puja Agarwal. "Cloud Cost Management and Optimization." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 3 (2019): 1173–76. http://dx.doi.org/10.61841/turcomat.v10i3.14397.

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As organizations increasingly migrate to cloud environments, the need to manage costs becomes paramount effectively and efficiently. This paper explores the basic principles and techniques of Cloud Cost. Management and Optimization, focusing on Amazon Web Services (AWS) as a key case study The study delves into the understanding of cloud pricing models, construction emphasize matching pricing plans to specific projects for optimal costs Tools such as Explorer facilitate, search and its role in identifying usage and inefficiencies, explore cost controls with budget constraints and governance sy

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30

Consigli, Giorgio, and Anton Kleywegt. "Data-driven optimization in management." Computational Management Science 16, no. 3 (2019): 371–74. http://dx.doi.org/10.1007/s10287-019-00352-6.

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31

Morshed, Ali. "Corrosion Management and Cost Optimization." Materials Performance 56, no. 4 (2017): 61–64. https://doi.org/10.5006/mp2017_56_4-61.

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A better appreciation of the various components of typical corrosion costs in the oil and gas industry could further facilitate their optimization. For example, preventing corrosion failures would eliminate post-failure corrosion costs, thus significantly reducing the overall corrosion costs. Simultaneously, due to the congruity between the corrosion management and the corrosion cost optimization concepts, the former could be utilized to positively affect the latter. This article explains in detail how this could be done.

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32

HAMMAD, MUHAMMAD. "Amazon: Workforce Management and Optimization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48536.

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Abstract This study explores how Amazon manages and optimizes its global workforce using both traditional and technological strategies. The research employs a mixed-method approach using secondary data from company reports, journals, and online sources. Key themes include workforce planning, automation, employee satisfaction, and HR analytics. Findings reveal Amazon’s data-driven HR strategies have led to high productivity but also challenges related to work-life balance and employee welfare. The report provides recommendations to improve sustainability in Amazon’s HR practices. Keywords: Amaz

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33

Yadav, Mitthu. "Amazon: Workforce Management and Optimization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50798.

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This study explores how Amazon manages and optimizes its global workforce using both traditional and technological strategies. The research employs a mixed-method approach using secondary data from company reports, journals, and online sources. Key themes include workforce planning, automation, employee satisfaction, and HR analytics. Findings reveal Amazon’s data-driven HR strategies have led to high productivity but also challenges related to work- life balance and employee welfare. The report provides recommendations to improve sustainability in Amazon’s HR practices. Keywords: Amazon, Work

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34

Grilli, Annette Renee, Malcolm Spaulding, Christopher O'Reilly, and Gopu Potty. "OFFSHORE WIND FARM MACRO AND MICRO SITING PROTOCOL APPLICATION TO RHODE ISLAND." Coastal Engineering Proceedings 1, no. 33 (2012): 73. http://dx.doi.org/10.9753/icce.v33.management.73.

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Since 2008, the Rhode Island (RI) Coastal Resources Management Council has been leading the development of an Ocean Special Area Management Plan (Ocean SAMP), in partnership with the University of Rhode Island, resulting in an extensive multidisciplinary analysis of the Rhode Island offshore environment and its suitability to site offshore wind farms. As part of SAMP, a comprehensive macro-siting optimization tool: the Wind Farm Siting Index (WIFSI), integrating technical, societal, and ecological constraints, was developed within the conceptual framework of ecosystem services. WIFSI uses mult

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35

Lekkala, Chandrakanth. "Leveraging Reinforcement Learning for Autonomous Data Pipeline Optimization and Management." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 2667–74. https://doi.org/10.21275/sr24531190901.

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36

Yang, Jianwei. "Big Data and Optimization of College Students' Education Management Mode." Academic Frontiers Publishing Group 1, no. 5 (2024): 115–23. https://doi.org/10.62989/jes2024.1.5.27.

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37

BETTER, MARCO, FRED GLOVER, GARY KOCHENBERGER, and HAIBO WANG. "SIMULATION OPTIMIZATION: APPLICATIONS IN RISK MANAGEMENT." International Journal of Information Technology & Decision Making 07, no. 04 (2008): 571–87. http://dx.doi.org/10.1142/s0219622008003137.

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Simulation optimization is providing solutions to important practical problems previously beyond reach. This paper explores how new approaches are significantly expanding the power of simulation optimization for managing risk. Recent advances in simulation optimization technology are leading to new opportunities to solve problems more effectively. Specifically, in applications involving risk and uncertainty, simulation optimization surpasses the capabilities of other optimization methods not only in the quality of solutions but also in their interpretability and practicality. In this paper, we

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38

Beck, Tanya M., and Kelly Legault. "DREDGING OPTIMIZATION OF AN INLET SYSTEM FOR ADJACENT SHORE PROTECTION PROJECTS USING CMS AND GENCADE." Coastal Engineering Proceedings 1, no. 33 (2012): 34. http://dx.doi.org/10.9753/icce.v33.management.34.

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St. Johns County encompasses a 24-km beach and inlet system located in northeast Florida (United States) that includes several interconnected Federal Navigation and Shore Protection Projects that must be managed within a regional context to reduce cost, share sediment, and optimize the volume of sand within the littoral system. The objective of this study is to investigate optimal dredging volumes and intervals, and to determine the beach placement volume and renourishment interval to maintain two Shore Protection Projects. The Coastal Modeling System (CMS) was applied to analyze the morpholog

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39

Sedki, A., and D. Ouazar. "Swarm intelligence for groundwater management optimization." Journal of Hydroinformatics 13, no. 3 (2010): 520–32. http://dx.doi.org/10.2166/hydro.2010.163.

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This paper presents some simulation–optimization models for groundwater resources management. These models couple two of the most successful global optimization techniques inspired by swarm intelligence, namely particle swarm optimization (PSO) and ant colony optimization (ACO), with one of the most commonly used groundwater flow simulation code, MODFLOW. The coupled simulation–optimization models are formulated and applied to three different groundwater management problems: (i) maximization of total pumping problem, (ii) minimization of total pumping to contain contaminated water within a cap

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40

Hemeida, Mahmoud, Tomonobu Senjyu, Salem Alkhalaf, Asmaa Fawzy, Mahrous Ahmed, and Dina Osheba. "Reactive Power Management Based Hybrid GAEO." Sustainability 14, no. 11 (2022): 6933. http://dx.doi.org/10.3390/su14116933.

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Electrical power networks are expanded regularly to meet growing energy requirements. Reactive power dispatch (RPD) optimization is a powerful tool to enhance a system’s efficiency, reliability, and security. RPD optimization is classified as a non-linear and non-convex problem. In this paper, the RPD optimization problem is solved based on novel hybrid genetic algorithms—equilibrium optimizer (GAEO) optimization algorithms. The control variables are determined in such a way that optimizes RPD and minimizes power losses. The efficiency of the proposed optimization algorithms is compared to oth

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41

V, Darshan. "Traffic Management System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47639.

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Abstract This paper introduces a comprehensive AI-based traffic management system designed to dynamically optimize traffic light timings at urban intersections through the integration of real-time vehicle detection and adaptive optimization techniques. Employing the YOLOv4 Tiny model for precise vehicle detection from video inputs, the system offers an innovative approach to address the complexities of urban traffic flow. Coupled with a genetic algorithm tailored for traffic optimization, it adjusts green light durations based on current traffic density, significantly reducing congestion, lowe

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42

Kumar, Manoj. "Scenario and Robust Optimization in Risk Management." International Journal of Risk and Contingency Management 5, no. 4 (2016): 27–41. http://dx.doi.org/10.4018/ijrcm.2016100103.

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Simulation Optimization is providing solutions to important practical problems previously beyond reach. This paper explores how new approaches are significantly expanding the power of Simulation Optimization for managing risk. Recent advances in Simulation Optimization technology are leading to new opportunities to solve problems more effectively. Specifically, in applications involving risk and uncertainty, Simulation Optimization surpasses the capabilities of other optimization methods, not only in the quality of solutions, but also in their interpretability and practicality. In this paper,

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43

Rong, Kexin, Mihai Budiu, Athinagoras Skiadopoulos, Lalith Suresh, and Amy Tai. "Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques." Proceedings of the VLDB Endowment 16, no. 10 (2023): 2618–31. http://dx.doi.org/10.14778/3603581.3603599.

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Cluster managers play a crucial role in data centers by distributing workloads among infrastructure resources. Declarative Cluster Management (DCM) is a new cluster management architecture that enables users to express placement policies declaratively using SQL-like queries. This paper presents our experiences in scaling this architecture from moderate-sized enterprise clusters (10 2 - 10 3 nodes) to hyperscale clusters (10 4 nodes) via query optimization techniques. First, we formally specify the syntax and semantics of DCM's declarative language, C-SQL, a SQL variant used to express constrai

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44

Ugnenko, Julija, Julija Ugnenko, and Tatjana Mazor. "MODERN TRANSPORT MANAGEMENT TECHNOLOGIES. TRANSPORTATION OPTIMIZATION." Mokslas - Lietuvos ateitis 2, no. 6 (2010): 81–85. http://dx.doi.org/10.3846/mla.2010.117.

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The article considers the theoretical aspects of modern transport management technologies and transport optimization. The paper demonstrates that the quantitative characteristics of transportation should be used for establishing an optimum criterion for making decisions on route optimization.

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45

Stoilova, Krasimira, and Todor Stoilov. "Optimization Models for Urban Traffic Management." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 18 (July 6, 2023): 187–94. http://dx.doi.org/10.37394/23203.2023.18.19.

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The main control tool for traffic management in urban areas is traffic light settings. The goal is to decrease the queue lengths at intersections. Usually, the duration of the green light of the traffic light is used for control. The control approach is based on the so-called “store-and-forward” model. However, this model does not reflect the stochastic nature of traffic dynamics. This study presents a model with some probabilistic conditions approximating real traffic behavior. An additional contribution concerns the definition of a bi-level optimization model that simultaneously optimizes th

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46

Tsibulnikova, M. R., and I. V. Sharf. "Optimization of environmentally-oriented resource management." IOP Conference Series: Earth and Environmental Science 629 (January 14, 2021): 012032. http://dx.doi.org/10.1088/1755-1315/629/1/012032.

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47

Milshin, Yuriy N. "Optimization of Management in Modern Conditions." Administrative law and procedure 3 (March 25, 2020): 10–12. http://dx.doi.org/10.18572/2071-1166-2020-3-10-12.

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48

Vasantharajan, S., R. Al-Hussainy, and R. F. Heinemann. "Applying Optimization Technology in Reservoir Management." Journal of Petroleum Technology 58, no. 05 (2006): 82–88. http://dx.doi.org/10.2118/87836-jpt.

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49

Sánchez, Maria Jose González, Buiza G., Beltran J., et al. "Logistic Management Optimization in the Ports." Journal of Business and Economics 6, no. 11 (2015): 1908–14. http://dx.doi.org/10.15341/jbe(2155-7950)/11.06.2015/009.

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50

Kuźmiński, Łukasz, Piotr Maśloch, Marek Bazan, et al. "Management of Delay Optimization at Intersections." Energies 13, no. 12 (2020): 3087. http://dx.doi.org/10.3390/en13123087.

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Congestion extends the time of the journey for both people and goods. Therefore, transport solutions should be optimized. Management scientists and technical scientists worked together in order to develop a proprietary solution to increase efficiency in terms of productivity improvements for intelligent transport systems. The most fundamental functions of management have been paired with a detailed analysis of city traffic. The authors developed a method for determining the order of vehicles at traffic lights and connected it with vehicle-to-vehicle communication and GPS signals. As a result,

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