Relevant bibliographies by topics / PROFIT MANAGEMENT ALGORITHM

Contents

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

Academic literature on the topic 'PROFIT MANAGEMENT ALGORITHM'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "PROFIT MANAGEMENT ALGORITHM"

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Wang, Xiaoli, Fang Wang, Shi Yan, and ZhanBo Liu. "Application of Sequential Pattern Mining Algorithm in Commodity Management." Journal of Electronic Commerce in Organizations 16, no. 3 (2018): 94–106. http://dx.doi.org/10.4018/jeco.2018070108.

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This article describes how by analyzing historical sales data of supermarkets, once data is cleaned, sampled and put through a series of operations, it can be transformed into a sequence database. Finally, the data is used in the SPM of Map-Reduce algorithm to data mining. This experiment has two stages. In the first stage, the sequences of product categories are mined to place the product categories. In the second stage, the products are mined for each category, add profit targets for calculating sequential pattern values. This is so that it can reorder the results to find the most profit pro
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Amudha, A., and C. Christober Asir Rajan. "On Line Application of Profit Based Unit Commitment Using Hybrid Algorithms of Memory Management Algorithm." Advanced Materials Research 403-408 (November 2011): 3965–72. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3965.

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As the electrical industry restructures, many of the traditional algorithms for controlling generating units need modification or replacement. In the past, utilities had to produce power to satisfy their customers with the objective to minimize costs and actual demand/reserve were met. But it is not necessary in a restructured system. The main objective of restructured system is to maximize their own profit without the responsibility of satisfying the forecasted demand. The PBUC is a highly dimensional mixed-integer optimization problem, which might be very difficult to solve. Hence a new soft
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Mahesh Prabhu, R., G. Hema, Srilatha Chepure, and M. Nageswara Guptha. "Logistics Optimization in Supply Chain Management using Clustering Algorithms." Scalable Computing: Practice and Experience 21, no. 1 (2020): 107–14. http://dx.doi.org/10.12694/scpe.v21i1.1628.

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Today’s business environment, survival and making profit in market are the prime requirement for any enterprise due to competitive environment. Innovation and staying updated are commonly identified two key parameters for achieving success and profit in business. Considerably supply chain management is also accountable for profit. As a measure to maximize the profit, supply chain process is to be streamlined and optimized. Appropriate grouping of various suppliers for the benefit of shipment cost reduction is proposed. Data relating to appropriate attributes of supplier logistics are collected
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Huo, Jia-Zhen, Yan-Ting Hou, Feng Chu, and Jun-Kai He. "A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem." Discrete Dynamics in Nature and Society 2019 (March 12, 2019): 1–13. http://dx.doi.org/10.1155/2019/8651728.

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This paper investigates joint decisions on airline network design and capacity allocation by integrating an uncapacitated single allocation p-hub median location problem into a revenue management problem. For the situation in which uncertain demand can be captured by a finite set of scenarios, we extend this integrated problem with average profit maximization to a combined average-case and worst-case analysis of this integration. We formulate this problem as a two-stage stochastic programming framework to maximize the profit, including the cost of installing the hubs and a weighted sum of aver
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Kim, Yohan, Sunyong Kim, and Hyuk Lim. "Reinforcement Learning Based Resource Management for Network Slicing." Applied Sciences 9, no. 11 (2019): 2361. http://dx.doi.org/10.3390/app9112361.

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Network slicing to create multiple virtual networks, called network slice, is a promising technology to enable networking resource sharing among multiple tenants for the 5th generation (5G) networks. By offering a network slice to slice tenants, network slicing supports parallel services to meet the service level agreement (SLA). In legacy networks, every tenant pays a fixed and roughly estimated monthly or annual fee for shared resources according to a contract signed with a provider. However, such a fixed resource allocation mechanism may result in low resource utilization or violation of us
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Brester, Christina, Ivan Ryzhikov, and Eugene Semenkin. "Multi-objective Optimization Algorithms with the Island Metaheuristic for Effective Project Management Problem Solving." Organizacija 50, no. 4 (2017): 364–73. http://dx.doi.org/10.1515/orga-2017-0027.

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Abstract Background and Purpose: In every organization, project management raises many different decision-making problems, a large proportion of which can be efficiently solved using specific decision-making support systems. Yet such kinds of problems are always a challenge since there is no time-efficient or computationally efficient algorithm to solve them as a result of their complexity. In this study, we consider the problem of optimal financial investment. In our solution, we take into account the following organizational resource and project characteristics: profits, costs and risks. Des
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Truschenko, Irina. "Algorithm for making management decisions on the use of outsourcing by entrepreneurial structures." Russian Journal of Management 9, no. 1 (2021): 216–20. http://dx.doi.org/10.29039/2409-6024-2021-9-1-216-220.

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Due to the economic downturn and high competition in the market, business structures are constantly looking for ways to optimize financial resources, as well as ways to increase their profits. Thus, a number of business structures use outsourcing as one of the effective tools for managing their resources. The transfer of individual business processes can allow the entrepreneurial structure to focus on strategically important areas of activity, due to which the profit of the entrepreneurial structure can be increased.
 According to the author's observations, the functioning of any business
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Kumari, Monika, and G. Sahoo. "Design and Analysis of Sustainable and Seasonal Profit Scaling Model in Cloud Environment." Scientific Programming 2019 (October 24, 2019): 1–14. http://dx.doi.org/10.1155/2019/7457938.

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Cloud is a widely used platform for intensive computing, bulk storage, and networking. In the world of cloud computing, scaling is a preferred tool for resource management and performance determination. Scaling is generally of two types: horizontal and vertical. The horizontal scale connects users’ agreement with the hardware and software entities and is implemented physically as per the requirement and demand of the datacenter for its further expansion. Vertical scaling can essentially resize server without any change in code and can increase the capacity of existing hardware or software by a
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Jamali, Gholamreza, Shib Sankar Sana, and Reza Moghdani. "Hybrid improved cuckoo search algorithm and genetic algorithm for solving Markov-modulated demand." RAIRO - Operations Research 52, no. 2 (2018): 473–97. http://dx.doi.org/10.1051/ro/2017076.

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One of the fundamental problems in supply chain management is to design the effective inventory control policies for models with stochastic demands because efficient inventory management can both maintain a high customers’ service level and reduce unnecessary over and under-stock expenses which are significant key factors of profit or loss of an organization. In this study, a new formulation of an inventory system is analyzed under discrete Markov-modulated demand. We employ simulation-based optimization that combines simulated annealing pattern search and ranking selection (SAPS&RS) metho
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Qu, Shou Ning, Qin Wang, Kui Liu, and De Jun Xu. "Research and Application in Supply Chain Management Based on Correlation Analyze of Association Rules Algorithm." Materials Science Forum 532-533 (December 2006): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.1024.

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In this paper, the association rule algorithm and its defects were analyzed. An improved algorithm was put forward for applying it to analysis the association of products fittings in SCM. The application of improved algorithm can mine which kinds of fittings or sets of items being matched to get a salable product or gain the higher profit. So it can not only instruct customer’s consumption but also can help the entrepreneur make a detailed and efficient internal plan.
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Dissertations / Theses on the topic "PROFIT MANAGEMENT ALGORITHM"

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Плюхина, Т. Н., та T. N. Plyukhina. "Методические подходы к управлению прибылью предприятий малого и среднего бизнеса : магистерская диссертация". Master's thesis, б. и, 2020. http://hdl.handle.net/10995/86606.

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In a complex and dynamic market economy, for stability and maintaining a high level of competitiveness, its participants need constant work on all the main aspects of the formation, distribution and use of profits at the enterprise. Indeed, it is profit that is the main source of financing the activities of a business entity, satisfying the financial interests of the owners of the enterprise, its employees and the state. The aim of the master's thesis is to develop guidelines for managing the profit of small and medium-sized enterprises. The work examines the genesis of the concept of “profit”
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Andreu, Altava Ramon. "Calcul du profil optimal d'un aéronef dans les phases de descente et d'approche." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30026.

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Le contexte actuel de croissance du trafic aérien, qui double tous les quinze ans, pose des problèmes environnementaux et remet en cause le développement durable de l'aviation. De plus, d'autres facteurs comme l'entrée en vigueur de nouveaux décrets relatifs aux questions environnementales, la volatilité des cours du pétrole et aussi la concurrence exacerbée du marché des compagnies aériennes conduisent au fait que les sujets de recherche liés à l'optimisation fine du profil de vol de l'avion et à l'amélioration de l'efficacité des opérations aériennes sont devenus des enjeux majeurs pour l'av
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Pitiot, Paul. "Amélioration des techniques d'optimisation combinatoire par retour d'expérience dans le cadre de la sélection de scénarios de Produit/Projet." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT021H/document.

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La définition et l’utilisation d'un modèle couplant la conception de produit et la conduite du projet dès les phases amont de l’étude d’un système correspondent à une forte demande industrielle. Ce modèle permet la prise en compte simultanée de décisions issues des deux environnements produit/projet mais il représente une augmentation conséquente de la dimension de l'espace de recherche à explorer pour le système d'aide à la décision, notamment lorsque il s'agit d'une optimisation multiobjectif. Les méthodes de type métaheuristique tel que les algorithmes évolutionnaires, sont une alternative
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Stecík, Július. "Algoritmy ve správě barev." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220212.

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Thesis briefly discusses the issues of color perception and effects associated with it. Further describes color model and its mathematical definition, which are used by color management. Briefly analyzes important elements of ICC profile. In second part two java applications were designed and programmed. First one evaluates visible spectrum and graphically demonstrate procedure for obtaining trichromacy information from this spectrum. Second application analyzes ICC profile and derives gamut of described device.
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Kněžínek, Michal. "Návrh a využití automatického obchodního systému pro zhodnocení kapitálu podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224710.

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This diploma thesis discusses about the possibilities of investing in the capital market with a focus on the foreign exchange market. Analysis of the company, whose output is SWOT analysis, is focused on the economic justification of investments. The essence is the proposal of automatic trading systems that will automatically trade on the basis of information from the market and add value to ivested capital. This automatic trading systems are designed in analytic platform named MetaTrader and their parameters are optimized by genetic algorithms.
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Lemos, Bernardo dos Santos Rosa Santos de. "Management Algorithms for Charging Electric Vehicles in Residential Buildings." Master's thesis, 2017. http://hdl.handle.net/10316/83220.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia<br>A eletrificação do setor dos transportes irá desempenhar um papel fundamental no futuro de cidades mais inteligentes e mais sustentáveis. Devido à crescente adoção de veículos elétricos (EVs), se o carregamento não for controlado, poderão surgir eventuais problemas na rede elétrica, tal como sobretensões levando a perdas de energia. Assim, torna-se necessário a criação de estratégias de carregamento mais inteligentes.Esta dissertação apresenta um algoritmo inteli
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Books on the topic "PROFIT MANAGEMENT ALGORITHM"

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Cevelev, Aleksandr. Material management of railway transport. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064961.

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In the monograph reviewed the development of the inventory management of railway transport in the new economic environment of market economy. &#x0D; According to the results of theoretical research, innovative and production potential of the supply system of railway transport the main directions and methods of transformation of the restructuring process under the corporate changes of JSC "RZD", positioned value system of the logistics of railway transportation, and developed a classification model used logistical resources. &#x0D; Evaluation of activity of structural divisions of Russian Railw
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Cevelev, Aleksandr. The economy and material management on a railway transport. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1085329.

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In the textbook in an accessible form presented and discussed the development of the economy and the inventory management of railway transport in the new economic environment. For the first time in Russian literature, made a theoretical attempt at a comprehensive review of the effectiveness of, and satisfaction of needs in material resources structural divisions, subsidiaries and affiliates of JSC "RZD". According to the results of theoretical research, innovative and production potential of the supply system of railway transport the main directions and methods of transformation of the restruc
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Book chapters on the topic "PROFIT MANAGEMENT ALGORITHM"

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Sudtasan, Tatcha, and Komsan Suriya. "Making Profit in Stock Investment Before XD Dates by Using Genetic Algorithm." In Innovative Management in Information and Production. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4857-0_38.

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Xu, Xiujuan, Lifeng Jia, Zhe Wang, and Chunguang Zhou. "DualRank: A Dual-Phase Algorithm for Optimal Profit Mining in Retailing Market." In Advances in Computer Science – ASIAN 2005. Data Management on the Web. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596370_17.

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Fernau, Henning, and Ulrike Stege. "Profit Parameterizations of Dominating Set." In Algorithmic Aspects in Information and Management. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27195-4_10.

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Liu, Bin, Xiao Li, Huijuan Wang, Qizhi Fang, Junyu Dong, and Weili Wu. "Profit Maximization Problem with Coupons in Social Networks." In Algorithmic Aspects in Information and Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04618-7_5.

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Cotet, Costel Emil, and Diana Popescu. "Material Flow Management in Industrial Engineering." In Encyclopedia of Information Science and Technology, Third Edition. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-5888-2.ch373.

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The first part of the article presents fundamentals of the Material Flow Theory (MFT) centered on five major topics: material flow and generic associate architecture definitions and classifications; major characteristics of discrete, continuous and hybrid material flow; mathematical and virtual modeling of material flow; material flow simulating algorithms (including a general algorithm for optimizing the associated architecture determining the flow trajectory), as well as major MFT applications in different fields. In the second part, the article focuses on the specific applications of MFT in industrial engineering material flow management (MFM). The accent is put on exploring different possibilities to increase productivity and profit in manufacturing architectures using the MFM approach based on virtual modeling and simulation. The proposed main topics of this section are: definition and characteristics of diffused and concentrated manufacturing architectures, virtual modeling of the manufacturing architecture structural elements, MFM simulation algorithms, diagnosis and optimization for manufacturing architectures in industrial engineering using MFM.
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Marks, R., D. Midgley, and L. Cooper. "Co-Evolving Better Strategies in Oligopolistic Price Wars." In Handbook of Research on Nature-Inspired Computing for Economics and Management. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-984-7.ch052.

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Using empirical market data from brand rivalry in a retail ground-coffee market, we model each idiosyncratic brand’s pricing behavior using the restriction that marketing strategies depend only on profit-relevant state variables, and use the genetic algorithm to search for co-evolved equilibria, where each profit-maximizing brand manager is a stimulus-response automaton, responding to past prices in the asymmetric oligopolistic market. This chapter is part of a growing study of repeated interactions and oligopolistic behavior using the GA.
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Dekhici, Latifa, Khaled Guerraiche, and Khaled Belkadi. "Bat Algorithm With Generalized Fly for Combinatorial Production Optimization Problems." In Technological Innovations in Knowledge Management and Decision Support. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6164-4.ch003.

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A set of metaheuristics has proved its efficiency in solving rapidly NP-hard problems. Several combinatorial and continuous optimization areas drew profit from these powerful alternative techniques. This chapter intends to describe a discrete version of bat algorithm (BA) combined to generalized walk evolutionary (GEWA), also called bat algorithm with generalized fly or walk (BAG) in order to solve discrete industrial optimization. The first case of study is the well-known hybrid flow shop scheduling. The second one concerns the operating theatre that represents a critical manufacturing system, as the products delivered are patients. The last problem is the redundancy optimization (ROP) for series-parallel multi-state power system (MSS). Its resolution involves the selection of components with an appropriate level of redundancy to maximize system reliability with constrained cost. A universal moment generating function (UMGF) is used to estimate reliabilities. The modified bat algorithm on specific benchmarks was compared with the original one, and other results taken from the literature of each case study.
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Badhe, Vivek, R. S. Thakur, and G. S. Thakur. "Profit Pattern Mining Using Soft Computing for Decision Making." In Pattern and Data Analysis in Healthcare Settings. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0536-5.ch011.

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Problem of decision making is a crucial task in every business. Profit Pattern Mining hit the target by minimizes the gap between statistical based pattern generation and value base decision making. But this job is found very difficult when it depends on the large, imprecise and vague environment, which is frequent in recent years. The concept of soft computing with data mining is novel way to address this difficulty. The general approaches to association rule mining focus on inducting rule by using correlation among data and finding frequent occurring patterns. The major technique uses support and confidence measures for generating rules which is not adequate nowadays as a measure of interest, since the data have become more multifaceted these days, it's a necessary to find solution that deals with such problems and uses some new measures like profit, significance etc. In this chapter, authors apply concept of pattern mining with vague set theory, Genetic algorithm theory and related properties to the commercial management to deal with business decision making problem.
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Shojai, Ali Zolghadr, Jamal Shahrabi, and Masoud Jenabi. "An Integrated Bi-Objective Reverse Logistics Network Design for Remanufacturing." In Exploring Innovative and Successful Applications of Soft Computing. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4785-5.ch015.

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Growing environmental and economical concern has led to increasing attention towards management of product return flows. An effective and efficient reverse logistics network enables companies to gain more profit and customer satisfaction. Consequently, the reverse logistics network design problem has become a critical issue. After a brief introduction to the basic concepts of reverse logistics, the authors formulate a new integrated multi-stage, multi-period, multi-product reverse logistics model for a remanufacturing system where the inventory is considered. Two objectives, minimization of the costs and maximization of coverage, are addressed. Since such network design problems belong to a class of NP-hard problems, a multi-objective genetic algorithm and a multi-objective evolutionary strategy algorithm are developed in order to find the set of non-dominated solutions. Finally, the model is tested on test problems with different sizes, and the proposed algorithms are compared based on the number, quality, and distribution of non-dominated solutions that belong to the Pareto front.
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Jiang, Yan. "Dynamic Spectrum Auction and Load Balancing Algorithm in Heterogeneous Network." In Global Applications of Pervasive and Ubiquitous Computing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2645-4.ch017.

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Mobile communication plays an important role in the future of communication systems. To meet personalized and intelligent requirements, mobile communication has evolved from single wireless cellular network to heterogeneous mobile communication network, including wireless cellular network, wireless local network, and wireless personal network. In the heterogeneous communication system, to entirely fulfill the spectrum resource complementary advantages of such a heterogeneous wireless network, the spectrum resource trade algorithm has attracted tremendous research efforts. In this paper, the advantages and disadvantages of dynamic spectrum allocation and load balancing are discussed and spectrum auction takes the place of spectrum allocation to maximize the operation revenue. The authors design a joint spectrum auction and load balancing algorithm (SALB) based on heterogeneous network environment to develop a more flexible and efficient spectrum management. The simulation result shows that SALB increases the operation profit significantly.
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Conference papers on the topic "PROFIT MANAGEMENT ALGORITHM"

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Intal, Ramon Christhoper D. J., Elmer P. Dadios, and Alexis M. Fillone. "Maximizing the bus carrier's profit in Epifanio Delos Santos Avenue using genetic algorithm." In 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). IEEE, 2014. http://dx.doi.org/10.1109/hnicem.2014.7016254.

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Bouyahyiouy, Karim El, and Adil Bellabdaoui. "An ant colony optimization algorithm for solving the full truckload vehicle routing problem with profit." In 2017 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2017. http://dx.doi.org/10.1109/logistiqua.2017.7962888.

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Xia, Jinfu, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, and Kai Zheng. "Profit-driven Task Assignment in Spatial Crowdsourcing." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/265.

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In Spatial Crowdsourcing (SC) systems, mobile users are enabled to perform spatio-temporal tasks by physically traveling to specified locations with the SC platforms. SC platforms manage the systems and recruit mobile users to contribute to the SC systems, whose commercial success depends on the profit attained from the task requesters. In order to maximize its profit, an SC platform needs an online management mechanism to assign the tasks to suitable workers. How to assign the tasks to workers more cost-effectively with the spatio-temporal constraints is one of the most difficult problems in
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Katooli, Javad, Mohammad Ameri, and Mohammad Hadi Katooli. "The Application of a Microgrid Considering Wind Generation." In ASME 2015 9th International Conference on Energy Sustainability collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/es2015-49787.

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Conventional power networks have experienced a gradual evolution from a centralized nature to distributed and localized structures. The upgrading of power system toward a smart grid is being developed to improve reliability and facilitate the integration of different types of renewable energies and improve load management. Due to different uncertainties linked to electricity supply in renewable MGs, probabilistic energy management techniques are going to be necessary to analyze the system. In this study, the short-term operation planning of a typical microgrid (MG) with diverse units for achie
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Qiu, Dawei, Jianhong Wang, Junkai Wang, and Goran Strbac. "Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/401.

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With increasing prosumers employed with distributed energy resources (DER), advanced energy management has become increasingly important. To this end, integrating demand-side DER into electricity market is a trend for future smart grids. The double-side auction (DA) market is viewed as a promising peer-to-peer (P2P) energy trading mechanism that enables interactions among prosumers in a distributed manner. To achieve the maximum profit in a dynamic electricity market, prosumers act as price makers to simultaneously optimize their operations and trading strategies. However, the traditional DA m
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Zhang, Zhi, and Fei Li. "Dynamic power management algorithms in maximizing net profit." In 2010 44th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2010. http://dx.doi.org/10.1109/ciss.2010.5464902.

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Jianhui, Lin. "An Urban Criminal Statistic Profile Vector Algorithm." In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.548.

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Caisheng Wang, S. P. McElmurry, C. J. Miller, and Junhui Zhao. "An integrated economic/emission/load profile management dispatch algorithm." In 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6345405.

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Li, Wenhu, Yong Yin, Yang Wang, Leiming Zhu, Yu Xia, and Yuhang Qi. "Rail Profile Detection Based on PNP Algorithm." In 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2018. http://dx.doi.org/10.1109/imcec.2018.8469520.

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Wang Bangji, Liu Qingxiang, Zhou Lei, Zhang Yanrong, Li Xiangqiang, and Zhang Jianqiong. "Velocity profile algorithm realization on FPGA for stepper motor controller." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6009864.

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Reports on the topic "PROFIT MANAGEMENT ALGORITHM"

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Jenkins, M., and L. Zieglar. Commercial National Security Algorithm (CNSA) Suite Profile of Certificate Management over CMS. RFC Editor, 2020. http://dx.doi.org/10.17487/rfc8756.

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