Optimal Decisions and Pricing in Mail Service Systems Subject to Virus Attacks by Sheng Zhu, Jinting Wang

“…We consider an optimal decision problem of the service providers in public mail service systems subject to virus attacks. …”
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Optimal Decisions in the Closed-Loop Supply Chain considering Capacity Constraints and Stochastic Demand under the Cap-and-Trade Regulation by Jian Wang, Wenxuan Shao

“…We examine the optimal decision problem for a closed-loop supply chain (CLSC) considering capacity constraints and stochastic demand under a cap-and-trade system. …”
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Joint optimization strategy of service cache and resource allocation in mobile edge network by Long LONG, Zichen LIU, Zaiwang LU, Yucheng ZHANG, Lei LI

“…Aiming at the problem that computing and storage resources of edge node in a mobile edge computing (MEC) system were limited, and excessive task offloading would cause the mismatch between the computing capacity and the load capacity of the edge server, resulting in the increase of task processing delay, the joint optimization of task offloading and storage resources under the three-layer network architecture composed of multi-user, edge server and cloud server was studied to reduce the overall system delay.For the problem was a mixed integer nonlinear problem, a joint optimization strategy of service caching and resource allocation was proposed.First, the continuous and discrete variables of the original problem were decoupled into two sub-problems, namely, the service cache decision problem and the joint optimization problem of computing resources and communication resources.Then, the linear reconstruction, relaxation method and convex optimization method were used to alternately optimize the two sub-problems to obtain the near-optimal solution.Simulation results demonstrate that the proposed strategy can obtain a near-optimal performance with low complexity, and can reduce up to 10% of the task duration compared with other strategies.…”
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Modeling and Simulation of Complex Network Attributes on Coordinating Large Multiagent System by Yang Xu, Xiang Li, Ming Liu

“…Based on the token-based strategy, the coordination can be built as a communication decision problem that agents make decisions to target communications and pass them over to the capable agents who will potentially benefit the team most. …”
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Intelligent interference decision algorithm with prior knowledge embedded LSTM-PPO model by ZHANG Jingke, YANG Kai, LI Chao, WANG Hongyan

“…Firstly, the MFR interference decision problem was regarded as a Markov decision process (MDP). …”
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Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model by Rajkumar Rajavel, Mala Thangarathinam

“…This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. …”
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Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation by Yi LIU, Xin WU

“…Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.…”
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Two Approaches to Constructing Certified Dominating Sets in Social Networks by Joanna Raczek, Mateusz Miotk

“…To compare the two methods, we first studied the computational complexity of the decision problem of whether, for a given graph, the domination number, which is the minimum size of a dominating set, is equal to the certified domination number, that is, the minimum size of a certified dominating set. …”
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Forecasting Optimal Solar Energy Supply in Jiangsu Province (China): A Systematic Approach Using Hybrid of Weather and Energy Forecast Models by Xiuli Zhao, Henry Asante Antwi, Ethel Yiranbon

“…Energy planning represents an investment-decision problem where information needs to be aggregated from credible sources to predict both demand and supply of energy. …”
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Intelligent adjustment for power system operation mode based on deep reinforcement learning by Wei Hu, Ning Mi, Shuang Wu, Huiling Zhang, Zhewen Hu, Lei Zhang

“…Power flow adjustment is a sequential decision problem. The operator makes decisions to ensure that the power flow meets the system's operational constraints, thereby obtaining a typical operating mode power flow. …”
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The Referenced Vertex Ordering Problem: Theory, Applications, and Solution Methods by Omer, Jérémy, Mucherino, Antonio

“…We introduce the referenced vertex ordering problem (revorder) as a combinatorial decision problem generalizing several vertex ordering problems that already appeared in the scientific literature under different guises. …”
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A Simulation-Based Dynamic Programming Method for Interchange Scheduling of Port Collecting and Distributing Network by Yun Peng, Wenyuan Wang, Xinglu Xu, Modi Chen, Xiangqun Song, Xiangda Li

“…This paper addresses the best interchange scheduling multistage decision problem in PCDN at a network level. The main challenges are how to estimate the delay time and cope with high uncertainties in port network and PCDN. …”
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UUV Autonomous Decision-Making Method Based on Dynamic Influence Diagram by Hongfei Yao, Hongjian Wang, Ying Wang

“…Compared with the traditional expert systems, the DID system shows great adaptability and exhibits better solutions of dynamic decision problems under uncertainty.…”
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Using the three-way matrix for AHP-group decision-making by Elisa Fiorenza

“…The Analytic Hierarchy Process (AHP) is one of the most well-known and used multi-criteria methods in the field of decision problems. In many situations, the decision is not up to a single person but involves multiple decision-makers with different preferences with respect to the various elements of the problem. …”
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Priority differentiated multicast flow scheduling method in Ceph cloud storage network by Wenlong KE, Yong WANG, Miao YE, Junqi CHEN

“…In order to solve the problem that existing flow scheduling method is difficult to meet the different multicast scheduling requirements of multi-service flows in the Ceph cloud storage network,a service priority-based multicast flow scheduling method was tailored.First,the network status was obtained via software defined network (SDN) to support flow scheduling.Then,a multicast task was decomposed into multiple attribute decision problems for multiple unicast path selection,and a method of unicast path selection based on technique for order preference by similarity to ideal solution (TOPSIS) was proposed.The unicast path selection method was used to find the optimal unicast path set for the service flow based on the flow’s network performance requirements.Then,the multicast distribution node was determined by the maximum common sub-path among the optimal unicast path sets for construct a multicast transmission path.The experiment results show that the proposed method can reduce the transmission delay of high priority flows while reduce the redundant traffic and better balance the traffic loads compared with the existing methods.…”
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Pricing and Remanufacturing Decisions of a Decentralized Fuzzy Supply Chain by Jing Zhao, Weiyu Liu, Jie Wei

“…The optimal pricing and remanufacturing decisions problem of a fuzzy closed-loop supply chain is considered in this paper. …”
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A Novel Approach Based on Sine Trigonometric Picture Fuzzy Aggregation Operators and Their Application in Decision Support System by Saleem Abdullah, Saifullah Khan, Muhammad Qiyas, Ronnason Chinram

“…Picture fuzzy sets (PFSs) are one of the fundamental concepts for addressing uncertainties in decision problems, and they can address more uncertainties compared to the existing structures of fuzzy sets; thus, their implementation was more substantial. …”
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Refractured Well Selection for Multicriteria Group Decision Making by Integrating Fuzzy AHP with Fuzzy TOPSIS Based on Interval-Typed Fuzzy Numbers by Tiejun Li, Jianhua Jin, Chunquan Li

“…Multicriteria group decision making (MCGDM) research has rapidly been developed and become a hot topic for solving complex decision problems. Because of incomplete or non-obtainable information, the refractured well-selection problem often exists in complex and vague conditions that the relative importance of the criteria and the impacts of the alternatives on these criteria are difficult to determine precisely. …”
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Optimizing Biomedical Ontology Alignment through a Compact Multiobjective Particle Swarm Optimization Algorithm Driven by Knee Solution by Xingsi Xue, Xiaojing Wu, Junfeng Chen

“…Nowadays, most real-world decision problems consist of two or more incommensurable or conflicting objectives to be optimized simultaneously, so-called multiobjective optimization problems (MOPs). …”
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W jaki sposób możemy wyrazić naszą troskę i odpowiedzialność za przyszłość naszej planety i zamieszkującej ją ludzkości? by Rafał Czekalski

“…This is a typically conservative attitude, distancing itself from the capacity of the state and more international decisions. Problems are resolved here and now, elsewhere they only multiply through the inadequacy of proposed solutions. …”
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