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Journal articles on the topic 'Cost-sharing optimization'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Caprara, Alberto, and Adam N. Letchford. "New techniques for cost sharing in combinatorial optimization games." Mathematical Programming 124, no. 1-2 (2010): 93–118. http://dx.doi.org/10.1007/s10107-010-0357-7.

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2

MOULIN, HERVÉ. "COST SHARING IN NETWORKS: SOME OPEN QUESTIONS." International Game Theory Review 15, no. 02 (2013): 1340001. http://dx.doi.org/10.1142/s021919891340001x.

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The fertile application of cooperative game techniques to cost sharing problems on networks has so far concentrated on the Stand Alone core test of fairness and/or stability, and ignored many combinatorial optimization problems where this core can be empty. I submit there is much room for an axiomatic discussion of fair division in the latter problems, where Stand Alone objections are not implementable. But the computational complexity of optimal solutions is still a very severe obstacle to this approach.

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He, Feng, Xin Qiu, Qing Yang, Jiong Di Chen, and Hai Qi Yu. "Research on Optimization Model of Taxi-Carpooling Expenses." Applied Mechanics and Materials 178-181 (May 2012): 2841–44. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2841.

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In order to solve cost-sharing problems for taxi-carpooling passengers, the optimization model of sharing taxi-carpooling expenses was established taking both taxi-driver and passengers’ benefits into fully consideration. Based on the fact that passengers would pay for their own share in proportion, the optimization model was made with the objective function aiming at minimum consumption of time and money. In view of its features, the theoretical model was further developed comparing expenses in theory with that under existing conditions. The results show that this optimization model of sharin

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Li, Sheng, and Yujie Huang. "Energy Sharing of Multiple Virtual Power Plants Based on a Peer Aggregation Model." Journal of Electrical and Computer Engineering 2023 (December 23, 2023): 1–11. http://dx.doi.org/10.1155/2023/9130209.

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With the increasing number of virtual power plants (VPP) participating in market transactions, the joint operation and energy sharing mode of multiple virtual power plants (multi-VPP) has attracted attention. A peer aggregation model for the multi-VPP energy sharing is proposed based on sharing price. At the VPP autonomous optimization level, each VPP operator formulates an autonomous optimization strategy based on the price incentives and the internal resource parameters and adopts a robust optimization method to improve the strategy’s robustness. At the overall level, a sharing level index i

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5

Shi, Jinzhao, Wenxin Jiao, Kewen Jing, Qi Yang, and Kin Keung Lai. "Joint Economic–Environmental Benefit Optimization by Carbon-Abatement Cost Sharing in a Capital-Constrained Green Supply Chain." Processes 11, no. 1 (2023): 226. http://dx.doi.org/10.3390/pr11010226.

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This paper studies the potential of carbon-abatement cost-sharing contracts in optimizing the joint economic–environmental benefit of a green supply chain. One-way and two-way cost-sharing contracts were investigated, respectively, in scenarios in which a capital-constrained manufacturer has a dominant downstream retailer or a dominant upstream supplier. The manufacturer obtains financing from a competitively priced bank to fulfill its production, carbon-abatement investment, and even insufficient emission permit purchase given the fact that the cap-and-trade regulation exists. Results show th

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Cui, Shiting, Peng Wang, Yao Gao, and Ruijin Zhu. "Cluster Optimization for Integrated Energy Systems Considering Multi-Energy Sharing and Asymmetric Profit Allocation: A Case Study of China." Processes 11, no. 7 (2023): 2027. http://dx.doi.org/10.3390/pr11072027.

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This study proposes a novel integrated energy system (IES) cluster optimization structure that uses multi-energy sharing, multi-Nash games, and asymmetric profit allocation according to the energy supply demand and energy development planning for Tibet. First, it integrates clean energy units such as concentrated solar power, power to hydrogen to power, and vacuum pressure swing adsorption to build a novel IES including electricity, heat, and oxygen. Second, multiple novel IESs are combined to form an IES cluster and the IES cluster is divided into three stages of optimization: the first stage

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Ren, Chuanxiang, Jinbo Wang, Yongquan You, and Yu Zhang. "Routing Optimization for Shared Electric Vehicles with Ride-Sharing." Complexity 2020 (September 9, 2020): 1–13. http://dx.doi.org/10.1155/2020/9560135.

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Shared electric vehicles (SEVs) are becoming a new way for urban residents to travel because of their environmental protection, energy saving, and sustainable development. However, at present, the operation mode of shared electric vehicles has the problem that the vehicle cannot be utilized efficiently. For this reason, this paper studied the mode of SEVs with ride-sharing (MSEVRS) and SEVs routing optimization under this mode. Firstly, the operation principle of MSEVRS is presented, which includes the collection of user demand information and SEVs information and the routing optimization of S

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8

Gupta, Anupam, Martin Pál, R. Ravi, and Amitabh Sinha. "Sampling and Cost-Sharing: Approximation Algorithms for Stochastic Optimization Problems." SIAM Journal on Computing 40, no. 5 (2011): 1361–401. http://dx.doi.org/10.1137/080732250.

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9

ARSLAN, YUNUS ZIYA, AZIM JINHA, MOTOSHI KAYA, and WALTER HERZOG. "PREDICTION OF MUSCLE FORCES USING STATIC OPTIMIZATION FOR DIFFERENT CONTRACTILE CONDITIONS." Journal of Mechanics in Medicine and Biology 13, no. 03 (2013): 1350022. http://dx.doi.org/10.1142/s021951941350022x.

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In this study, we introduced a novel cost function for the prediction of individual muscle forces for a one degree-of-freedom musculoskeletal system. Unlike previous models, the new approach incorporates the instantaneous contractile conditions represented by the force-length and force-velocity relationships and accounts for physiological properties such as fiber type distribution and physiological cross-sectional area (PCSA) in the cost function. Using this cost function, it is possible to predict experimentally observed features of force-sharing among synergistic muscles that cannot be predi

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10

Hou, ZuoXun. "Remote English Teaching Resource Sharing Based on Internet O2O Model." Scientific Programming 2022 (January 13, 2022): 1–10. http://dx.doi.org/10.1155/2022/1217807.

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Aiming at the problems of low success rate, delay, and high communication cost in distance English teaching resource sharing, this paper puts forward a method of distance English teaching resource sharing based on Internet O2O mode. Based on the model of distance English teaching resource sharing, this paper designs four processes: query, reply, resource substitution, and resource sharing optimization. Experimental results show that the proposed method can achieve high success rate of resource sharing, low latency, communication cost, and high transmission efficiency. Therefore, it is an effec

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11

George, Christodoulou, Leonardi Stefano, and Sgouritsa Alkmini. "Designing cost-sharing methods for Bayesian Games." Theory of Computing Systems 63, no. 1 (2019): 4–25. https://doi.org/10.1007/s00224-017-9832-3.

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We study the design of cost-sharing protocols for two fun- damental resource allocation problems, the Set Cover and the Steiner Tree Problem, under environments of incomplete information (Bayesian model). Our objective is to design protocols where the worst-case Bayesian Nash equilibria, have low cost, i.e. the Bayesian Price of Anarchy (PoA) is minimized. Although budget balance is a very natural requirement, it puts considerable restrictions on the design space, resulting in high PoA. We propose an alternative, relaxed requirement called budget balance in the equilibrium (BBiE). We show an i

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12

Wei, Qiang, Daguang Sun, Xinyu Gou, and Chunguang Bai. "Sharing Economy for Cost Reduction and Efficiency Increase: The Case of Sharing E-Commerce Logistics." Complexity 2021 (June 23, 2021): 1–23. http://dx.doi.org/10.1155/2021/5573422.

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In the real business environment, due to unpredictable market demand or high prediction difficulty and low prediction accuracy, there will be inevitably operational loss in the field of e-commerce logistics caused by undersupply or oversupply of express service capabilities. At present, China is deepening the supply-side structural reforms. Confronted with the growing demand for e-commerce logistics express delivery, especially the urgent demand for tackling orders piling up to 1 billion pieces during the recent “Double 11” shopping carnival, it is very important and practical for us to study

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13

Guo, Tangyi, Jie Yang, Liu He, and Kun Tang. "Emerging Technologies and Methods in Shared Mobility Systems Layout Optimization of Campus Bike-Sharing Parking Spots." Journal of Advanced Transportation 2020 (November 1, 2020): 1–10. http://dx.doi.org/10.1155/2020/8894119.

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The rapid development of bike sharing has posed some challenges to the traffic management on campus. The bike sharing on campus has problems such as messy parking, and some buildings in the peak hours have no bikes to borrow. Thus, alternative parking spots are proposed based on the layout principle of parking spots for bicycles. An optimization model of the layout of campus bike-sharing parking spots with travel time and construction cost as the optimization goal is established, and the branch and bound algorithm is used to solve the model. Finally, the study analysis is carried out by optimi

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14

Li, Chang. "Coordination and Optimization of Supply Chain Considering the Double Fresh-keeping Effort of Supplier and 3PL." Frontiers in Sustainable Development 2, no. 8 (2022): 29–42. http://dx.doi.org/10.54691/fsd.v2i8.1919.

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This paper takes a three-echelon supply chain consisting of a domestic supplier, an overseas retailer, and an overseas warehouse as the research object, and studies the decision-making and coordination problems of a single-channel three-echelon supply chain dominated by a cross-border e-commerce platform based on the dual preservation effort level of the supplier and the overseas warehouse, and also analyzes and compares the optimal decisions and profits of each member of the supply chain under the decentralized decision-making model and the centralized decision-making model. After exploring t

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15

Yu, Jiajie, Yanjie Ji, Chenyu Yi, Chenchen Kuai, and Dmitry Ivanovich Samal. "Optimization Model for the Supply Volume of Bike-Sharing: Case Study in Nanjing, China." Information 12, no. 5 (2021): 182. http://dx.doi.org/10.3390/info12050182.

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In order to solve the oversupply and repositioning problems of bike-sharing, this paper proposes an optimization model to obtain a reasonable supply volume scheme for bike-sharing and infrastructure configuration planning. The optimization model is constrained by the demand for bike-sharing, urban traffic carrying capacity (road network and parking facilities carrying capacities), and the flow conservation of shared bikes in each traffic analysis zone. The model was formulated through mixed-integer programming with the aim of minimizing the total costs for users and bike-sharing enterprises (i

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16

Kilic, Alp, Zied Marrakchi, and Habib Mehrez. "A Top-Down Optimization Methodology for Mutually Exclusive Applications." International Journal of Reconfigurable Computing 2014 (2014): 1–18. http://dx.doi.org/10.1155/2014/827613.

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Proliferation of mutually exclusive applications on circuits and the higher cost of silicon make the resource sharing more and more important. The state-of-the-art synthesis tools may often be unsatisfactory. Their efficiency may depend on the hardware description style. Nevertheless, today, different applications in a circuit can be developed by different developers. This paper proposes an efficient method to improve resource sharing between mutually exclusive applications with no dependence on the coding style. It takes the advantage of the possibility of resource sharing as done in FPGA and

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17

Deng, Shejun, Yingying Yuan, Yong Wang, Haizhong Wang, and Charles Koll. "Collaborative multicenter logistics delivery network optimization with resource sharing." PLOS ONE 15, no. 11 (2020): e0242555. http://dx.doi.org/10.1371/journal.pone.0242555.

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Collaboration among logistics facilities in a multicenter logistics delivery network can significantly improve the utilization of logistics resources through resource sharing including logistics facilities, vehicles, and customer services. This study proposes and tests different resource sharing schemes to solve the optimization problem of a collaborative multicenter logistics delivery network based on resource sharing (CMCLDN-RS). The CMCLDN-RS problem aims to establish a collaborative mechanism of allocating logistics resources in a manner that improves the operational efficiency of a logist

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18

Zhang, Guangsheng, Xiao Wang, Yu Zhang, and Jiayun Kang. "Research on the Emission Reduction Decision of Cost-Sharing Logistics Service Supply Chain in the O2O Model." Sustainability 14, no. 20 (2022): 13247. http://dx.doi.org/10.3390/su142013247.

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As an effective way to realize energy savings and environmental protection, cost sharing is gradually becoming an important measure to reduce emissions in the logistics service supply chain under O2O mode in recent years. How to conduct contract selection and design optimization under the cost-sharing situation, and then improve the operational efficiency of the logistics service supply chain is an important issue that needs to be addressed. Firstly, based on the initial market demand for logistics, this paper involves the influence of both online logistics service integrators and onsite funct

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19

Che, Cheng, Xin Geng, Huixian Zheng, Yi Chen, and Xiaoguang Zhang. "Optimization and Benefit Analysis of Intelligent Networked Vehicle Supply Chain Based on Stackelberg Algorithms." Scientific Programming 2022 (July 5, 2022): 1–18. http://dx.doi.org/10.1155/2022/3946744.

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With the rapid development of intelligent technology, the construction of smart cities with the goal of creating a harmonious human life has become a new hot spot in the world. A new round of information technology revolution, represented by the Internet, big data, cloud computing, artificial intelligence (AI), and fifth-generation mobile communications (5G), is driving profound changes in the automotive industry. Smart vehicles (also known as intelligent connected vehicles) that integrate many high-tech technologies to provide safer, more convenient, and low-carbon comprehensive travel soluti

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20

Cao, Yi, Shan Wang, and Jinyang Li. "The Optimization Model of Ride-Sharing Route for Ride Hailing Considering Both System Optimization and User Fairness." Sustainability 13, no. 2 (2021): 902. http://dx.doi.org/10.3390/su13020902.

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To fully take the advantages of ride-sharing ride hailing, such as high loading rate, high operating efficiency, and less traffic resources, and to alleviate the difficulty of getting a taxi in urban hubs, the topic of ride-sharing route optimization for ride hailing is studied in this paper. For the multiple ride hailing ride-sharing demands and multiple ride hailing services in the urban road network in a specific period, the objective function is established with the shortest route of the system. The constraint conditions of the optimization model are constructed by considering factors of t

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21

Qiu, Yu Lian, and Guo Fang Xiao. "Research on Cost Management Optimization of Financial Sharing Center Based on RPA." Procedia Computer Science 166 (2020): 115–19. http://dx.doi.org/10.1016/j.procs.2020.02.031.

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22

Liu, Wei Qun, and Xiang Kui Chen. "A Delay-Constrained Multicast Routing Balanced-Optimization Algorithm of Link-Sharing." Applied Mechanics and Materials 152-154 (January 2012): 1834–39. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.1834.

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In multimedia network, Quality of service (QoS) provisioning generally assumes more than one QoS measure which implies that QoS routing can be categorized as an instance of routing subject to multiple constraints: delay, cost, bandwidth, etc. We study the problem of constructing multicast trees to meet the QoS requirements of real-time applications where it is necessary to provide bounded delays among the source and all destinations while keeping overall cost of the multicast tree low. So the cost and computational complexity are analyzed as constructing delay-constrained multicast tree. So as

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23

Sun, Licheng, and Sui Fang. "Irrational Carbon Emission Transfers in Supply Chains under Environmental Regulation: Identification and Optimization." Sustainability 14, no. 3 (2022): 1099. http://dx.doi.org/10.3390/su14031099.

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Irrational transfer of carbon emissions in the supply chain refers to the phenomenon that after the transfer of carbon emissions occurs, the profits of any party in the supply chain are reduced compared to before the transfer. Identifying and optimizing irrational transfers of carbon emissions in supply chains under environmental regulation are the bases for establishing green supply chains. By constructing a manufacturer-led Steinberg model, we obtained identification intervals for such transfers, then analyzed the influences of the changes in various coefficients. Finally, we designed a carb

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24

Sun, Xu, Zixiu Bai, Kun Lin, Pengpeng Jiao, and HuaPu Lu. "Optimization Model of Traffic Sensor Layout considering Traffic Big Data." Journal of Advanced Transportation 2020 (November 4, 2020): 1–11. http://dx.doi.org/10.1155/2020/8845832.

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In order to improve the accuracy, reliability, and economy of urban traffic information collection, an optimization model of traffic sensor layout is proposed in this paper. Considering the impact of traffic big data, a set of impact factors for traffic sensor layout is established, including system cost, multisource data sharing, data demand, sensor failures, road infrastructure, and sensor type. The impacts of these influential factors are taken into account in the traffic sensor layout optimization problem, which is formulated in the form of multiobjective programming model that includes mi

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25

Wang, Yongjie, and Maolin Li. "Optimization Algorithm Design for the Taxi-Sharing Problem and Application." Mathematical Problems in Engineering 2021 (August 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/5572200.

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With the development of mobility techniques, the transportation systems become smarter, pursuing higher goals, such as convenience for passengers and low cost. In this work, we investigate the taxi-sharing system, which is a promising system recently. The passengers can share the same taxis to different destinations to save cost. Considering the property of taxis’ routes, the corresponding model is established and our aim is to design the trip for each taxi to reduce the total number of taxi trips in the whole system if one taxi can be shared by several passengers. Compared with the previous w

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Liu, Jinyan. "Research on Cost Accounting Business Process Optimization of Construction Enterprises Based on FSSC." BCP Business & Management 30 (October 24, 2022): 496–501. http://dx.doi.org/10.54691/bcpbm.v30i.2493.

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Current infrastructure construction is the key of the national policy, along with the expansion of business areas, branch subsidiary is more, the traditional enterprise management system more difficult to adapt to the subsidiary, branch, distribution is more decentralized management needs of enterprise, the management of construction enterprises difficult to ascend, mainly reflected in operation of separation of goods. Financial sharing center is one of the methods to promote the integration of industry and finance and improve the efficiency of enterprise management. The cost accounting proces

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27

Li, Huimin, Lelin Lv, Xiaowei An, and Guanghua Dong. "Profit Sharing Mechanism of Large EPC Project considering the Behavior of Fairness Concern." Advances in Civil Engineering 2020 (August 30, 2020): 1–9. http://dx.doi.org/10.1155/2020/3725254.

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A large-scale engineering procurement and construction (EPC) project is often conducted by a joint venture. Many factors affect the success of cooperation among participating enterprises, such as trust and the degree of effort of both parties. The most important one is a rational profit sharing mechanism. Reasonable profit sharing mechanism concerns whether the advantages of the EPC model can be fully utilized. In this study, the proposed EPC project is undertaken by a joint venture integrating design and construction enterprises. Moreover, the profit sharing problem arises from the project op

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28

Gao, Jinwu, Zhuolin Cui, Huijie Li, and Ruru Jia. "Optimization and Coordination of the Fresh Agricultural Product Supply Chain Considering the Freshness-Keeping Effort and Information Sharing." Mathematics 11, no. 8 (2023): 1922. http://dx.doi.org/10.3390/math11081922.

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To solve freshness-keeping problems and analyse a retailer’s information sharing strategies in the fresh agricultural product supply chain (FAPSC), often confronted with challenges in keeping agri-products fresh in an uncertain market, we study an FAPSC via a decentralized mode in which the supplier or retailer exerts the freshness-keeping effort while the retailer decides its information sharing strategies regarding private demand forecasting. We consider a contract coordination mode including three incentive contracts, cost-sharing (cs), revenue-sharing (re) and revenue-and-cost-sharing (rc)

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Zhang, Zichen, and Yuan Wang. "Product Line Optimization for Car-Sharing Platforms in the Sustainable Transportation." Journal of Advanced Transportation 2023 (March 3, 2023): 1–15. http://dx.doi.org/10.1155/2023/9786689.

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As the sharing economy develops in sustainable transportation, car-sharing platforms improve the allocation efficiency of idle cars to customers. However, as the travel demand increases, and the vehicle type becomes various, the sharing market faces a new challenge to satisfy the customers’ diverse needs for quality-differentiated cars. Each customer would like to choose the right car type, while the manufacturing firm and the e-commerce platform should set the right car price for profit maximization. How to match the platform’s product line with the customer’s choice behavior becomes a proble

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30

Gao, Xiao-Yan, Radhya Sahal, Gui-Xiu Chen, Mohammed H. Khafagy, and Fatma A. Omara. "Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink." Complexity 2020 (December 4, 2020): 1–25. http://dx.doi.org/10.1155/2020/6617149.

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Multiway join queries incur high-cost I/Os operations over large-scale data. Exploiting sharing join opportunities among multiple multiway joins could be beneficial to reduce query execution time and shuffled intermediate data. Although multiway join optimization has been carried out in MapReduce, different design principles (i.e., in-memory Big Data platforms, Flink) are not considered. To bridge the gap of not considering the optimization of Big Data platforms, an end-to-end multiway join over Flink, which is called Join-MOTH system (J-MOTH), is proposed to exploit sharing data granularity,

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31

Zhong, Hongming, Zijian Liu, Jun Chen, Jun Hao, and Wei Wang. "Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station." Applied Sciences 11, no. 21 (2021): 10188. http://dx.doi.org/10.3390/app112110188.

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This paper aims to improve transfer utility between bike-sharing and subway. For this paper, the transfer costs of three combined travel modes were analyzed, including “Bike-sharing + Subway”, “Walking + Subway” and “Bus + Subway”, and a transfer cost function, including time cost and expense cost, was constructed. Cluster analysis was carried out on the origin and destination of bike-sharing in the transfer-influenced area. The sum of squares of errors and the service radius were used to verify the clustering results. Then the number of alternative facilities, the location of alternative faci

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32

Ashiedu, Benedict Ifechukwude, Ejielo Ogbuefi, Uloma Stella Nwabekee, Jeffrey Chidera Ogeawuchi, and Abraham Ayodeji Abayomi. "Business Model Innovation through In-House Ride-Sharing Systems: A Workforce Optimization Approach." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 1 (2023): 1262–75. https://doi.org/10.54660/.ijmrge.2023.4.1.1262-1275.

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This explores business model innovation through the implementation of in-house ride-sharing systems, focusing on workforce optimization, mobility, cost-saving, and employee retention. As organizations strive to enhance operational efficiency and employee satisfaction, transportation and commute-related challenges often emerge as key factors influencing overall productivity and retention. By analyzing the development of an internal carpool system, this review examines the ways in which such systems can address these challenges while fostering a more sustainable, cost-effective, and employee-fri

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Ahsan, Syed Muhammad, and Petr Musilek. "Optimizing Multi-Microgrid Operations with Battery Energy Storage and Electric Vehicle Integration: A Comparative Analysis of Strategies." Batteries 11, no. 4 (2025): 129. https://doi.org/10.3390/batteries11040129.

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This study presents a comprehensive comparative analysis of the operational strategies for multi-microgrid systems that integrate battery energy storage systems and electric vehicles. The analyzed strategies include individual operation, community-based operation, a cooperative game-theoretic method, and the alternating direction method of multipliers for multi-microgrid systems. The operation of multi-microgrid systems that incorporate electric vehicles presents challenges related to coordination, privacy, and fairness. Mathematical models for each strategy are developed and evaluated using a

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Huang, Tao. "Resource Sharing of Smart City Based on Blockchain." Wireless Communications and Mobile Computing 2021 (October 20, 2021): 1–11. http://dx.doi.org/10.1155/2021/5886024.

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The concept of smart city refers to the improvement of the quality of life of the city by making full use of idle resources by sharing. However, limited by the technical level, the current resource sharing system mostly adopts centralized data storage mode. Systems managed in this way are vulnerable to multiple threats. The tested blockchain technology with the characteristics of decentralization and tamper resistance can effectively prevent various risks. Starting with the architecture of blockchain intelligent contract, this paper puts forward a structural optimization factor model of intell

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Lashinde Adeniran Toyin and Inyang, Iboro Moses. "Sustainable Supply Chain Management Strategies and Construction Cost Optimization for Project Delivery in South-South Nigeria." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 6 (2025): 659–71. https://doi.org/10.51583/ijltemas.2025.140600072.

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Abstract: The construction industry faces challenges like unsustainable supply chain practices and rising project costs, hindering environmental sustainability and economic efficiency. Despite global advancements, inefficiencies like resource waste and resistance to change exacerbate cost overruns and environmental degradation. This study investigated on Sustainable Supply Chain Management (SSCM) strategies and their influence on construction cost optimization for project delivery in South-South Nigeria. The study focuses on the level of adoption of SSCM strategies, barriers inhibiting the ado

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Yan, Tingman, Xilian Yang, and Qunfei Zhao. "Symmetry Weight-sharing for Patch-based Stereo Matching." Journal of Physics: Conference Series 2281, no. 1 (2022): 012015. http://dx.doi.org/10.1088/1742-6596/2281/1/012015.

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Abstract Neural networks are becoming more popular than traditional methods in stereo matching. The networks can be decomposed into four sub-modules: feature extraction / matching cost computation, cost aggregation, disparity computation / optimization, and disparity refinement. A typical design for the feature extraction networks is that the left and right branches share the same weights. However, the Siamese networks are weak at distinguishing neighboring patches because of the interference of geometric distortion on slanted surfaces. This paper proposes symmetry weight-sharing to improve th

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Ullah, Kalim, Jiang Quanyuan, Guangchao Geng, Rehan Ali Khan, Sheraz Aslam, and Wahab Khan. "Optimization of Demand Response and Power-Sharing in Microgrids for Cost and Power Losses." Energies 15, no. 9 (2022): 3274. http://dx.doi.org/10.3390/en15093274.

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The number of microgrids within a smart distribution grid can be raised in the future. Microgrid-based distribution network reconfiguration is analyzed in this research by taking demand response programs and power-sharing into account to optimize costs and reduce power losses. The suggested method determined the ideal distribution network configuration to fulfil the best scheduling goals. The ideal way of interconnecting switches between microgrids and the main grid was also identified. For each hour of operation, the ideal topology of microgrid-based distribution networks was determined using

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Liu, Can, Bin Dan, Xumei Zhang, and Haiyue Zhang. "Composite Contracts for Dual-Channel Supply Chain Coordination with the Existence of Service Free Riding." Journal of Theoretical and Applied Electronic Commerce Research 17, no. 2 (2022): 789–808. http://dx.doi.org/10.3390/jtaer17020041.

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This paper aims to investigate how to coordinate a dual-channel supply chain composing of a manufacturer and a retailer when customers utilize the retailer’s service to conduct free-riding behavior. Specially, we consider the crucial role of service in affecting customers’ valuation for a kind of experience product and establish a channel choice model by employing utility theory. Then, we analyze the optimal pricing and service decisions under decentralized and centralized scenarios. To achieve overall optimization, we propose three contract mechanisms, namely price hike (Mechanism 1), price h

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Liu, Can, Bin Dan, Xumei Zhang, and Haiyue Zhang. "Composite Contracts for Dual-Channel Supply Chain Coordination with the Existence of Service Free Riding." Journal of Theoretical and Applied Electronic Commerce Research 17, no. 2 (2022): 789–808. http://dx.doi.org/10.3390/jtaer17020041.

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This paper aims to investigate how to coordinate a dual-channel supply chain composing of a manufacturer and a retailer when customers utilize the retailer’s service to conduct free-riding behavior. Specially, we consider the crucial role of service in affecting customers’ valuation for a kind of experience product and establish a channel choice model by employing utility theory. Then, we analyze the optimal pricing and service decisions under decentralized and centralized scenarios. To achieve overall optimization, we propose three contract mechanisms, namely price hike (Mechanism 1), price h

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Li, Xiaohui, Hongbin Dong, Shuang Han, Xiaowei Wang, and Xiaodong Yu. "A Utility Method for the Matching Optimization of Ride-Sharing Based on the E-CARGO Model in Internet of Vehicles." Wireless Communications and Mobile Computing 2021 (November 12, 2021): 1–10. http://dx.doi.org/10.1155/2021/2438972.

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The Internet of Vehicles (IoV) is the extension of the Internet of Things (IoT) technology in the field of transportation systems. Ride-sharing is one of intelligent travel applications in IoV. Ride-sharing is aimed at taking passengers with similar itineraries and time arrangements to travel in the same car according to a certain matching rule. To effectively integrate transport capacity resources and reduce the number of cars on the road, ride-sharing has become a popular and economical way of travel. The matching and optimizing of drivers and passengers are the core contents of a ride-shari

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Cheng, Fang Qi, and Hao Wu. "Study on Optimizing Collaborative Manufacturing Chain." Applied Mechanics and Materials 201-202 (October 2012): 971–74. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.971.

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For realizing the sharing and optimization deployment of the manufacturing resources, the concept of collaborative manufacturing chain is proposed. For acquiring the optimal collaborative manufacturing chain, a multi-objective optimization model is developed to minimize the comprehensive cost and the whole production load with time-sequence constraint. The simulation results indicate that the proposed model and algorithm are able to obtain satisfactory solutions.

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Bao, Junsong. "Research on sustainable cycle of new sustainable development energy economy." Edelweiss Applied Science and Technology 9, no. 3 (2025): 2774–84. https://doi.org/10.55214/25768484.v9i3.5875.

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This study examines the impact of the sharing economy on achieving the Sustainable Development Goals (SDGs) within China's manufacturing sector. It focuses on how energy efficiency, resource optimization, and cost savings contribute to SDG success, with an emphasis on the mediating role of energy efficiency. Primary data were gathered through surveys of managers from various manufacturing firms in China, representing different industrial sectors to provide a comprehensive understanding. The study used Smart-PLS (Partial Least Squares Structural Equation Modeling) to analyze the relationships b

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Huang, Lin Na, Feng Hua Liu, and Li Fang Tang. "On Cloud Sharing Model of Digital Educational Resources in Hebei Universities." Advanced Materials Research 651 (January 2013): 846–51. http://dx.doi.org/10.4028/www.scientific.net/amr.651.846.

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With the coming of the era of cloud computing, applications of cloud computing must have a profound impact on the field of education and promote the development of education and teaching. How to apply cloud computing in education is becoming a hot research. Under this context, the services provided with cloud computing and the establishment of Digital Education Resource Cloud Sharing Mode can break through the bottleneck of digital education resource sharing in universities, and improve the efficiency of digital educational resource sharing, which is conducive to promote educational equity and

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Yang, Fan. "Research on the Optimization Path of Strategic Cost Management under the Background of the Digital Economy." Journal of Applied Economics and Policy Studies 11, no. 1 (2024): 62–66. http://dx.doi.org/10.54254/2977-5701/11/2024109.

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Under the background of the digital economy, the research on the optimization path of strategic cost management for enterprises is particularly important. This paper discusses key paths such as data-driven cost management systems, intelligent cost control, and collaborative cost management, revealing the profound impact of the digital economy on corporate cost management and proposing a series of optimization strategies. The data-driven cost management system requires enterprises to establish comprehensive data collection and analysis mechanisms, using big data and advanced analytical tools to

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Prateek, Singh* Prof. Jaya Dipti lal* Prof. Anjulata Yadav*. "OPTIMIZATION OF INTER NETWORK SHARING SCHEME FOR CELLULAR NETWORK USING GENETIC ALGORITHM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 8 (2016): 279–85. https://doi.org/10.5281/zenodo.59634.

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The cost of wireless network highly depends on the power consumption for transmission. The power consumption increases as number of users increase . Nonlinear enhancement of cost with increase in power needs the attention and optimization.The base station sharing is identified as the most efficient solution to reduce energy consumption costs of cellular networks. In this project, a scheme has been proposed which is based on  framework for the study of such cooperative solutions where different mobile network operators (MNOs) decide to switch OFF subsets of their base stations during off-p

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Yamano, Shuhei, and Atsushi Akisawa. "Evaluation of an Additional Generator on the Economic Effect Based on a Load Sharing Optimization of Medium-Speed/High-Speed Diesel Generators in a Microgrid." Energies 15, no. 3 (2022): 1007. http://dx.doi.org/10.3390/en15031007.

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This study investigates the additional installation of a high-speed diesel generator to independent microgrids (MG) such as remote islands where relatively efficient medium-speed diesel generators (DGs) are mainly used. While small-sized and lightweight, high-speed DGs are not widely spread for continuous usage because their efficiency is lower than that of the medium-speed DGs. The objective of this study is to evaluate the performance of the new method of load sharing optimization to improve the economy by interconnecting a high-speed DG to an independent MG where the medium-speed DGs are op

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ALJRIBI, Salem Faraj, and Ziyodulla YUSUPOV. "Gray Wolf, Mikro Şebekede Pil Depolama Dahil Optimize Edilmiş Ekonomik Yük Dağıtımı." Journal of Polytechnic 27, no. 1 (2021): 27–33. http://dx.doi.org/10.2339/politeknik.886712.

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In last decades, grey wolf optimizer algorithm as a new meta-heuristic optimization technique plays major role in optimization of engineering problems such as load forecasting, controller parameter tuning and job scheduling. In this paper, grey wolf optimization (GWO) is used to optimize the microgrid system for effective dispatching of power to load with economic manner. The model of microgrid system components are developed and investigated in the MATLAB/Simulink platform. The vital objective of the proposed grey wolf algorithm is to minimize overall cost of the microgrid operation. The deta

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Fotopoulou, Maria, George J. Tsekouras, Andreas Vlachos, et al. "Day Ahead Operation Cost Optimization for Energy Communities." Energies 18, no. 5 (2025): 1101. https://doi.org/10.3390/en18051101.

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Energy communities constitute the main collective form for energy consumers to participate in the current energy transition. The purpose of this research paper is to present a tool that assists energy communities to achieve fair and sustainable daily operation. In this context, the proposed algorithm (i) assesses the day-ahead operation cost (or profit) of energy communities, taking into consideration photovoltaic (PV) production, battery energy storage system (BESS), and flexible loads, as well as the potential profit from selling energy to the power system, under the net billing scheme, and

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Wang, Yong, Yaoyao Sun, Xiangyang Guan, and Yanyong Guo. "Two-Echelon Location-Routing Problem with Time Windows and Transportation Resource Sharing." Journal of Advanced Transportation 2021 (May 9, 2021): 1–20. http://dx.doi.org/10.1155/2021/8280686.

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In this work, a two-echelon location-routing problem with time windows and transportation resource sharing (2E-LRPTWTRS) is solved by selecting facility locations and optimizing two-echelon vehicle routes. The optimal solutions improve the efficiency of a logistics network based on the geographical distribution and service time windows of logistics facilities and customers. Furthermore, resource utilization is maximized by enabling resource sharing strategies within and among different logistics facilities simultaneously. The 2E-LRPTWTRS is formulated as a biobjective optimization model, and o

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Park, KyoungJong. "A Heuristic Simulation–Optimization Approach to Information Sharing in Supply Chains." Symmetry 12, no. 8 (2020): 1319. http://dx.doi.org/10.3390/sym12081319.

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The sustainability of the supply chain is possible only if the profitability of all the tiers participating in that supply chain is guaranteed. The profitability of each of these tiers is ensured if information sharing as well as an effective and seamless coordination system are realized between the tiers. This process reduces the influence of an important risk factor known as the bullwhip effect. The purpose of the current study is to determine the necessary information sharing level to optimize the supply chain that has asymmetric flows of input and output values and to examine the effects o

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