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Quantum-Inspired Optimization Algorithm for 3D Multi-Objective Base-Station Deployment in Next-Generation 5G/6G Wireless Network 认领 引用
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作者 Yao-Hsin Chou Cheng-Yen Hua +1 位作者 Ru-Wei Tseng Shu-Yu Kuo 《Computers, Materials & Continua》 SCIE EI 2026年第5期981-996,共16页
The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)w... The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)while maintaining cost-efficiency and sustainable deployment.Traditional strategies struggle with complex 3D propagation,building penetration loss,and the balance between coverage and infrastructure cost.To address this challenge,this study presents the first application of a Global-best Guided Quantum-inspired Tabu Search with Quantum-Not Gate(GQTS-QNG)framework for 3D base-station deployment optimization.The problem is formulated as a multi-objective model that simultaneously maximizes coverage and minimizes deployment cost.A binary-to-decimal encodingmechanism is designed to represent discrete placement coordinates and base station types,leveraging a quantum-inspired method to efficiently search and refine solutions within challenging combinatorial environments.Global-best guidance and tabu memory are integrated to strengthen convergence stability and avoid revisiting previously explored solutions.Simulation results across user densities ranging from 1000 to 10,000 show that GQTS-QNG consistently finds deployment configurations achieving full coverage while reducing deployment cost compared with the state-of-the-art algorithms under equal iteration times.Additionally,our method generates welldistributed and structured Pareto fronts,offering diverse planning options that allow operators to flexibly balance cost and performance requirements.These findings demonstrate that GQTS-QNG is a scalable and efficient algorithm for sustainable 3D cellular network deployment in B5G/6G urban scenarios. 展开更多
关键词 3D network deployment quantum-inspired optimization B5G/6G multi-objective optimization coverage deployment cost urban wireless planning
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Multi-objective optimization of rolling schedule based on cost function for tandem cold mill 认领 引用 被引量：10
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作者 陈树宗 张欣 +3 位作者 彭良贵 张殿华 孙杰 刘印忠 《Journal of Central South University》 SCIE EI CAS 2014年第5期1733-1740,共8页
In terms of tandem cold mill productivity and product quality, a multi-objective optimization model of rolling schedule based on cost fimction was proposed to determine the stand reductions, inter-stand tensions and r... In terms of tandem cold mill productivity and product quality, a multi-objective optimization model of rolling schedule based on cost fimction was proposed to determine the stand reductions, inter-stand tensions and rolling speeds for a specified product. The proposed schedule optimization model consists of several single cost fi.mctions, which take rolling force, motor power, inter-stand tension and stand reduction into consideration. The cost function, which can evaluate how far the rolling parameters are from the ideal values, was minimized using the Nelder-Mead simplex method. The proposed rolling schedule optimization method has been applied successfully to the 5-stand tandem cold mill in Tangsteel, and the results from a case study show that the proposed method is superior to those based on empirical formulae. 展开更多
关键词 tandem cold mill multi-object optimization rolling schedule cost function simplex algorithm
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Efficient Resource Allocation in Cloud IaaS: A Multi-Objective Strategy for Minimizing Workflow Makespan and Cloud Resource Costs 认领 引用
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作者 Jean Edgard Gnimassoun Dagou Dangui Augustin Sylvain Legrand Koffi Akanza Konan Ricky N’dri 《Open Journal of Applied Sciences》 2025年第1期147-167,共21页
The ease of accessing a virtually unlimited pool of resources makes Infrastructure as a Service (IaaS) clouds an ideal platform for running data-intensive workflow applications comprising hundreds of computational tas... The ease of accessing a virtually unlimited pool of resources makes Infrastructure as a Service (IaaS) clouds an ideal platform for running data-intensive workflow applications comprising hundreds of computational tasks. However, executing scientific workflows in IaaS cloud environments poses significant challenges due to conflicting objectives, such as minimizing execution time (makespan) and reducing resource utilization costs. This study responds to the increasing need for efficient and adaptable optimization solutions in dynamic and complex environments, which are critical for meeting the evolving demands of modern users and applications. This study presents an innovative multi-objective approach for scheduling scientific workflows in IaaS cloud environments. The proposed algorithm, MOS-MWMC, aims to minimize total execution time (makespan) and resource utilization costs by leveraging key features of virtual machine instances, such as a high number of cores and fast local SSD storage. By integrating realistic simulations based on the WRENCH framework, the method effectively dimensions the cloud infrastructure and optimizes resource usage. Experimental results highlight the superiority of MOS-MWMC compared to benchmark algorithms HEFT and Max-Min. The Pareto fronts obtained for the CyberShake, Epigenomics, and Montage workflows demonstrate closer proximity to the optimal front, confirming the algorithm’s ability to balance conflicting objectives. This study contributes to optimizing scientific workflows in complex environments by providing solutions tailored to specific user needs while minimizing costs and execution times. 展开更多
关键词 Cloud Infrastructure Multi-Objective Scheduling Resource Cost Optimization Resource Utilization Scientific Workflows
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Strength,Self-flowing,and Multi-objective Optimization of Cemented Paste Backfill Materials Base on RSM-DF 认领 引用 被引量：1
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作者 LIU Chunkang WANG Hongjiang +2 位作者 WANG Hui SUN Jiaqi BAI Longjian 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS CSCD 2025年第2期449-461,共13页
The multi-objective optimization of backfill effect based on response surface methodology and desirability function(RSM-DF)was conducted.Firstly,the test results show that the uniaxial compressive strength(UCS)increas... The multi-objective optimization of backfill effect based on response surface methodology and desirability function(RSM-DF)was conducted.Firstly,the test results show that the uniaxial compressive strength(UCS)increases with cement sand ratio(CSR),slurry concentration(SC),and curing age(CA),while flow resistance(FR)increases with SC and backfill flow rate(BFR),and decreases with CSR.Then the regression models of UCS and FR as response values were established through RSM.Multi-factor interaction found that CSR-CA impacted UCS most,while SC-BFR impacted FR most.By introducing the desirability function,the optimal backfill parameters were obtained based on RSM-DF(CSR is 1:6.25,SC is 69%,CA is 11.5 d,and BFR is 90 m3/h),showing close results of Design Expert and high reliability for optimization.For a copper mine in China,RSM-DF optimization will reduce cement consumption by 4758 t per year,increase tailings consumption by about 6700 t,and reduce CO2emission by about 4758 t.Thus,RSM-DF provides a new approach for backfill parameters optimization,which has important theoretical and practical values. 展开更多
关键词 cemented paste backfill response surface methodology desirability function multi-objective optimization
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Estimating the Macroeconomic Costs of CO2Emission Reduction in China Based on Multi-objective Programming 认领 引用
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作者 Ying Fan Xiaobing Zhang Lei Zhu 《Advances in Climate Change Research》 2010年第1期27-33,共7页
This paper estimates the macroeconornic costs of CO2emission reduction in China employing the input-output analysis with the multi-objective programming approach.The results show that the effect of reducing CO2e... This paper estimates the macroeconornic costs of CO2emission reduction in China employing the input-output analysis with the multi-objective programming approach.The results show that the effect of reducing CO2emissions on China's economy is significant.Under the present conditions,the estimated macroeconomic costs of CO2emission reduction in 2010 for China are approximately 3,100-4,024 RMB t-1.The stronger the abatement actions,the higher the macroeconomic costs of per unit emission reduction would be.Excavation industry,oil industry,chemical industry,and metal smelting industry have high potential to abate their CO2emissions. 展开更多
关键词 CO2emission reduction macroeconomic cost multi-objective programming input-output analysis
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Multi-objective optimization of microwave power transmission system architecture with engineering consideration 认领 引用
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作者 DONG Shiwei SHINOHARA Naoki 《中国空间科学技术（中英文）》 CSCD 北大核心 2025年第4期114-122,共9页
In the last decade,space solar power satellites(SSPSs)have been conceived to support net-zero carbon emissions and have attracted considerable attention.Electric energy is transmitted to the ground via a microwave pow... In the last decade,space solar power satellites(SSPSs)have been conceived to support net-zero carbon emissions and have attracted considerable attention.Electric energy is transmitted to the ground via a microwave power beam,a technology known as microwave power transmission(MPT).Due to the vast transmission distance of tens of thousands of kilometers,the power transmitting antenna array must span up to 1 kilometer in diameter.At the same time,the size of the rectifying array on the ground should extend over a few kilometers.This makes the MPT system of SSPSs significantly larger than the existing aerospace engineering system.To design and operate a rational MPT system,comprehensive optimization is required.Taking the space MPT system engineering into consideration,a novel multi-objective optimization function is proposed and further analyzed.The multi-objective optimization problem is modeled mathematically.Beam collection efficiency(BCE)is the primary factor,followed by the thermal management capability.Some tapers,designed to solve the conflict between BCE and the thermal problem,are reviewed.In addition to these two factors,rectenna design complexity is included as a functional factor in the optimization objective.Weight coefficients are assigned to these factors to prioritize them.Radiating planar arrays with different aperture illumination fields are studied,and their performances are compared using the multi-objective optimization function.Transmitting array size,rectifying array size,transmission distance,and transmitted power remaine constant in various cases,ensuring fair comparisons.The analysis results show that the proposed optimization function is effective in optimizing and selecting the MPT system architecture.It is also noted that the multi-objective optimization function can be expanded to include other factors in the future. 展开更多
关键词 space solar power satellite(SSPS) microwave power transmission(MPT) multi-objective function beam collection efficiency(BCE) system engineering
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Evolutionary analysis of multi-player snowdrift game with cost sharing under Aspiration–Fermi hybrid rule 认领 引用
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作者 Bolin Yang Guanghui Yang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期185-194,共10页
This paper firstly constructs a multi-player snowdrift game with all players'cost sharing once the snowdrift is removed for a fairness.Secondly,an Aspiration-Fermi hybrid rule is proposed to derive an extended ave... This paper firstly constructs a multi-player snowdrift game with all players'cost sharing once the snowdrift is removed for a fairness.Secondly,an Aspiration-Fermi hybrid rule is proposed to derive an extended average abundance function via Markov chain evolutionary processes.Besides,extensive numerical simulations well verify theoretical results.Our findings show that both cost sharing and the Aspiration-Fermi hybrid rule significantly promote the cooperation by enhancing the average abundance in multi-person snowdrift game.By comparison with the existing woks,our proposed model and hybrid strategy-update rule provide novel insights into the evolution of cooperation in multi-person games. 展开更多
关键词 multi-player snowdrift evolutionary game cost sharing Aspiration-Fermi hybrid rule average abundance function
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A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming 认领 引用
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作者 Zhiqing Meng Rui Shen Min Jiang 《American Journal of Operations Research》 2014年第6期331-339,共9页
In this paper, we present an algorithm to solve the inequality constrained multi-objective programming (MP) by using a penalty function with objective parameters and constraint penalty parameter. First, the penalty fu... In this paper, we present an algorithm to solve the inequality constrained multi-objective programming (MP) by using a penalty function with objective parameters and constraint penalty parameter. First, the penalty function with objective parameters and constraint penalty parameter for MP and the corresponding unconstraint penalty optimization problem (UPOP) is defined. Under some conditions, a Pareto efficient solution (or a weakly-efficient solution) to UPOP is proved to be a Pareto efficient solution (or a weakly-efficient solution) to MP. The penalty function is proved to be exact under a stable condition. Then, we design an algorithm to solve MP and prove its convergence. Finally, numerical examples show that the algorithm may help decision makers to find a satisfactory solution to MP. 展开更多
关键词 Multi-Objective Programming Penalty Function Objective Parameters Constraint Penalty Parameter Pareto Weakly-Efficient Solution
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Multi-objective Function Optimization for Environmental Control of a Greenhouse Based on a RBF and NSGA-Ⅱ 认领 引用
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作者 Zhou Xiu-li Liu Ming-wei +3 位作者 Wang Ling Xu Xiao-chuan Chen Gang Wang De-fu 《Journal of Northeast Agricultural University(English Edition)》 CAS 2021年第1期75-89,共15页
To better meet the needs of crop growth and achieve energy savings and efficiency enhancements,constructing a reliable environmental model to optimize greenhouse decision parameters is an important problem to be solve... To better meet the needs of crop growth and achieve energy savings and efficiency enhancements,constructing a reliable environmental model to optimize greenhouse decision parameters is an important problem to be solved.In this work,a radial-basis function(RBF)neural network was used to mine the potential changes of a greenhouse environment,a temperature error model was established,a multi-objective optimization function of energy consumption was constructed and the corresponding decision parameters were optimized by using a non-dominated sorting genetic algorithm with an elite strategy(NSGA-Ⅱ).The simulation results showed that RBF could clarify the nonlinear relationship among the greenhouse environment variables and decision parameters and the greenhouse temperature.The NSGA-Ⅱcould well search for the Pareto solution for the objective functions.The experimental results showed that after 40 min of combined control of sunshades and sprays,the temperature was reduced from 31℃to 25℃,and the power consumption was 0.5 MJ.Compared with tire three days of July 24,July 25 and July 26,2017,the energy consumption of the controlled production greenhouse was reduced by 37.5%,9.1%and 28.5%,respectively. 展开更多
关键词 greenhouse temperature multi-objective optimization radial-basis function(RBF) non-dominated sorting genetic algorithm with an elite strategy(NSGA-Ⅱ)
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Optimality for Multi-Objective Programming Involving Arcwise Connected d-Type-I Functions 认领 引用
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作者 Guolin Yu Min Wang 《American Journal of Operations Research》 2011年第4期243-248,共6页
This paper deals with the optimality conditions and dual theory of multi-objective programming problems involving generalized convexity. New classes of generalized type-I functions are introduced for arcwise connected... This paper deals with the optimality conditions and dual theory of multi-objective programming problems involving generalized convexity. New classes of generalized type-I functions are introduced for arcwise connected functions, and examples are given to show the existence of these functions. By utilizing the new concepts, several sufficient optimality conditions and Mond-Weir type duality results are proposed for non-differentiable multi-objective programming problem. 展开更多
关键词 Multi-Objective Programming Pareto Efficient Solution Arcwise Connected d-Type-I Functions Optimality Conditions Duality
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Multi-objective optimization about functions of the East Lake in Wuhan 认领 引用
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作者 LI Xin-min LI Rong 《汉口学院学报》 2009年第3期49-52,共4页
After multiple-objective optimized decision about the East Lake in Wuhan, combining of expert system＇ s identification and adjustment, we get weights of F1 （tourism function）, F2 （flood storage func- tion）, F3 （... After multiple-objective optimized decision about the East Lake in Wuhan, combining of expert system＇ s identification and adjustment, we get weights of F1 （tourism function）, F2 （flood storage func- tion）, F3 （ water supply function）, F4 （ aquaculture function）, F5 （ water sports function）, F6 （ vocation /and and sanitaria function ） and F7 （ lake shore garden function ）, each of which is ： 0. 5, 0. 1, 0.05, 0.05, 0.05, 0.05, 0.2. F1 will become more and more outstanding and become the most impor- tant function in comprehensive utilization of the East Lake. With the improvement of urban basic facili- ties, ability of pumping stations will be improved, and F2 could be maintained. F7 will be developed in adjustment. 展开更多
关键词 the East Lake in Wuhan multi-objective optimization functions tourism function
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Pancreatic function,quality of life and costs at long-term follow-up after acute pancreatitis 认领 引用 被引量：19
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作者 Bodil Andersson Marie-Louise Pendse Roland Andersson 《World Journal of Gastroenterology》 SCIE CAS 2010年第39期4944-4951,共8页
AIM:To evaluate long-term endocrine and exocrine pancreatic function,quality of life and health care costs after mild acute pancreatitis and severe acute pancreatitis(SAP).METHODS:Patients prospectively included in 20... AIM:To evaluate long-term endocrine and exocrine pancreatic function,quality of life and health care costs after mild acute pancreatitis and severe acute pancreatitis(SAP).METHODS:Patients prospectively included in 2001-2005 were followed-up after 42(36-53)mo.Pancreatic function was evaluated with laboratory tests,the oral glucose tolerance test(OGTT),fecal elastase-1 and a questionnaire.Short Form(SF)-36,was completed.RESULTS:Fourteen patients with a history of SAP and 26 with mild acute pancreatitis were included.Plasma glucose after OGTT was higher after SAP(9.2 mmol/L vs 7.0 mmol/L,P=0.044).Diabetes mellitus or impaired glucose tolerance in fasting plasma glucose and/or 120 min plasma glucose were more common in SAP patients(11/14 vs 11/25,P=0.037).Sick leave,time until the patients could take up recreational activities and time until they had recovered were all longer after SAP(P <0.001).No significant differences in SF-36 were seen between the groups,or when comparing with age and gender matched reference groups.Total hospital costs,including primary care,follow-up and treatment of complications,were higher after SAP(median€16572 vs €5000,P<0.001).CONCLUSION:Endocrine pancreatic function was affected,especially after severe disease.SAP requires greater resource use with long recovery,but most patients regained a good quality of life. 展开更多
关键词 Acute pancreatitis Endocrine function Exocrine function Quality of life Cost
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Multi-Objective Redundancy Optimization of Continuous-Point Robot Milling Path in Shipbuilding 认领 引用 被引量：4
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作者 Jianjun Yao Chen Qian +1 位作者 Yikun Zhang Geyang Yu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第2期1283-1303,共21页
The 6-DOF manipulator provides a new option for traditional shipbuilding for its advantages of vast working space,low power consumption,and excellent flexibility.However,the rotation of the end effector along the tool... The 6-DOF manipulator provides a new option for traditional shipbuilding for its advantages of vast working space,low power consumption,and excellent flexibility.However,the rotation of the end effector along the tool axis is functionally redundant when using a robotic arm for five-axis machining.In the process of ship construction,the performance of the parts’protective coating needs to bemachined tomeet the Performance Standard of Protective Coatings(PSPC).The arbitrary redundancy configuration in path planning will result in drastic fluctuations in the robot joint angle,greatly reducing machining quality and efficiency.There have been some studies on singleobjective optimization of redundant variables,However,the quality and efficiency of milling are not affected by a single factor,it is usually influenced by several factors,such as the manipulator stiffness,the joint motion smoothness,and the energy consumption.To solve this problem,this paper proposed a new path optimization method for the industrial robot when it is used for five-axis machining.The path smoothness performance index and the energy consumption index are established based on the joint acceleration and the joint velocity,respectively.The path planning issue is formulated as a constrained multi-objective optimization problem by taking into account the constraints of joint limits and singularity avoidance.Then,the path is split into multiple segments for optimization to avoid the slow convergence rate caused by the high dimension.An algorithm combining the non-dominated sorting genetic algorithm(NSGA-II)and the differential evolution(DE)algorithm is employed to solve the above optimization problem.The simulations validate the effectiveness of the algorithm,showing the improvement of smoothness and the reduction of energy consumption. 展开更多
关键词 Shipbuilding robot milling functional redundancy path optimization multi-objective
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Optimal proportioning of iron ore in sintering process based on improved multi-objective beluga whale optimisation algorithm 认领 引用 被引量：2
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作者 Zong-ping Li Xu-dong Li +5 位作者 Xue-tong Yan Wu Wen Xiao-xin Zeng Rong-jia Zhu Ya-hui Wang Ling-zhi Yi 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2024年第7期1597-1609,共13页
Proportioning is an important part of sintering,as it affects the cost of sintering and the quality of sintered ore.To address the problems posed by the complex raw material information and numerous constraints in the... Proportioning is an important part of sintering,as it affects the cost of sintering and the quality of sintered ore.To address the problems posed by the complex raw material information and numerous constraints in the sintering process,a multi-objective optimisation model for sintering proportioning was established,which takes the proportioning cost and TFe as the optimisation objectives.Additionally,an improved multi-objective beluga whale optimisation(IMOBWO)algorithm was proposed to solve the nonlinear,multi-constrained multi-objective optimisation problems.The algorithm uses the con-strained non-dominance criterion to deal with the constraint problem in the model.Moreover,the algorithm employs an opposite learning strategy and a population guidance mechanism based on angular competition and two-population competition strategy to enhance convergence and population diversity.The actual proportioning of a steel plant indicates that the IMOBWO algorithm applied to the ore proportioning process has good convergence and obtains the uniformly distributed Pareto front.Meanwhile,compared with the actual proportioning scheme,the proportioning cost is reduced by 4.3361¥,and the TFe content in the mixture is increased by 0.0367%in the optimal compromise solution.Therefore,the proposed method effectively balances the cost and total iron,facilitating the comprehensive utilisation of sintered iron ore resources while ensuring quality assurance. 展开更多
关键词 Sintering process Proportioning Iron ore Multi-objective beluga whale optimisation algorithm Proportioning cost
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Multi-objective optimization scheduling for new energy power system considering energy storage participation 认领 引用 被引量：9
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作者 YUN Yun-yun DONG Hai-ying +2 位作者 CHEN Zhao HUANG Rong DING Kun 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2020年第4期365-372,共8页
For the low utilization rate of photovoltaic power generation,taking a new energy power system constisting of concentrating solar power(CSP),photovoltaic power(PP)and battery energy storage system as an example,a mult... For the low utilization rate of photovoltaic power generation,taking a new energy power system constisting of concentrating solar power(CSP),photovoltaic power(PP)and battery energy storage system as an example,a multi-objective optimization scheduling strategy considering energy storage participation is proposed.Firstly,the new energy power system model is established,and the PP scenario generation and reduction frame based on the autoregressive moving average model and Kantorovich-distance is proposed.Then,based on the optimization goal of the system operation cost minimization and the PP output power consumption maximization,the multi-objective optimization scheduling model is established.Finally,the simulation results show that introducing energy storage into the system can effectively reduce the system operation cost and improve the utilization efficiency of PP. 展开更多
关键词 new energy power system multi-objective optimization energy storage participation operation cost autoregressive moving average model
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A vague-set-based fuzzy multi-objective decision making model for bidding purchase 认领 引用 被引量：6
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作者 WANG Zhou-jing QIAN Edward Y. 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS 2007年第4期644-650,共7页
A vague-set-based fuzzy multi-objective decision making model is developed for evaluating bidding plans in a bid- ding purchase process. A group of decision-makers (DMs) first independently assess bidding plans accord... A vague-set-based fuzzy multi-objective decision making model is developed for evaluating bidding plans in a bid- ding purchase process. A group of decision-makers (DMs) first independently assess bidding plans according to their experience and preferences, and these assessments may be expressed as linguistic terms, which are then converted to fuzzy numbers. The resulting decision matrices are then transformed to objective membership grade matrices. The lower bound of satisfaction and upper bound of dissatisfaction are used to determine each bidding plan’s supporting, opposing, and neutral objective sets, which together determine the vague value of a bidding plan. Finally, a score function is employed to rank all bidding plans. A new score function based on vague sets is introduced in the model and a novel method is presented for calculating the lower bound of sat- isfaction and upper bound of dissatisfaction. In a vague-set-based fuzzy multi-objective decision making model, different valua- tions for upper and lower bounds of satisfaction usually lead to distinct ranking results. Therefore, it is crucial to effectively contain DMs’ arbitrariness and subjectivity when these values are determined. 展开更多
关键词 Fuzzy multi-objective decision making model Vague set Score function Lower bound of satisfaction Upper bound of dissatisfaction
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A Study on the Multi-Objective Optimization Method of Brackets in Ship Structures 认领 引用
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作者 LIU Fan HU Yu-meng +2 位作者 FENG Guo-qing ZHAO Wei-dong ZHANG Ming 《China Ocean Engineering》 SCIE EI CSCD 2022年第2期208-222,共15页
The shape and size optimization of brackets in hull structures was conducted to achieve the simultaneous reduction of mass and high stress,where the parametric finite element model was built based on Patran Command La... The shape and size optimization of brackets in hull structures was conducted to achieve the simultaneous reduction of mass and high stress,where the parametric finite element model was built based on Patran Command Language codes.The optimization procedure was executed on Isight platform,on which the linear dimensionless method was introduced to establish the weighted multi-objective function.The extreme processing method was applied and proved effective to normalize the objectives.The bracket was optimized under the typical single loads and design waves,accompanied by the different proportions of weights in the objective function,in which the safety factor function was further established,including yielding,buckling,and fatigue strength,and the weight minimization and safety maximization of the bracket were obtained.The findings of this study illustrate that the dimensionless objectives share equal contributions to the multi-objective function,which enhances the role of weights in the optimization. 展开更多
关键词 brackets parametric finite element model multi-objective optimization extreme processing method safety factor function weighted multi-objective function
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Optimal investment with transaction costs based on exponential utility function:a parabolic double obstacle problem 认领 引用
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作者 BAO Qun-fang YANG Jing-yang +1 位作者 SUN Chao LI Sheng-hong 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2011年第4期483-492,共10页
This paper concerns optimal investment problem with proportional transaction costs and finite time horizon based on exponential utility function. Using a partial differential equation approach, we reveal that the prob... This paper concerns optimal investment problem with proportional transaction costs and finite time horizon based on exponential utility function. Using a partial differential equation approach, we reveal that the problem is equivalent to a parabolic double obstacle problem involving two free boundaries that correspond to the optimal buying and selling policies. Numerical examples are obtained by the binomial method. 展开更多
关键词 Optimal investment transaction costs double obstacle problem stochastic control exponential utility function.
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Natural Monopoly and Mixed Ownership Reform--Based on Natural Experiment and Cost Function Analysis Method 认领 引用
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作者 Chen Lin 《中国经济学人（中英文）》 2018年第5期60-83,共24页
Despite a multitude of theoretical discussions on China's mixed ownership reform, very few studies have addressed realistic questions concerning the implementation of the reform. The Resolutions of the Third Plenu... Despite a multitude of theoretical discussions on China's mixed ownership reform, very few studies have addressed realistic questions concerning the implementation of the reform. The Resolutions of the Third Plenum of the 18 th CPC Central Committee and other reform strategies have outlined the reform of sectors with natural monopoly, including urban public utility sectors. The question is how mixed ownership reform should be carried out in sectors of natural monopoly, or which public utilities sectors should enjoy priority of mixed ownership reform. To answer this question, this paper employs data of large public utility enterprises in China from 1998 to 2008, and estimates the natural monopoly attribute at the industry level and corporate total factor productivity(TFP) using cost function analysis method excluding the impact of product price factor. Based on the difference-indifferences-in-differences(DDD) method of natural experiment, an empirical test is carried out for the relationship among natural monopoly, mixed ownership reform and corporate productivity. Our results suggest that:(1) Statistically, mixed ownership reform cannot significantly increase corporate TFP in sectors with natural monopoly;(2) mixed ownership reform should not be carried out indiscriminately on a nationwide basis and for all public utilities sectors. Such an attempt of reform without distinguishing natural monopoly and the level of competitiveness is fraught with policy uncertainties;(3) relative to sectors with natural monopoly, corporate productivity in competitive sectors after mixed ownership reform will improve more significantly and enjoy greater "policy dividends" of institutional reform. Therefore, mixed ownership reform should be carried out first in competitive sectors. 展开更多
关键词 mixed ownership reform natural monopoly cost function natural experiment,difference-in-differences-in-differences(DDD)method
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Competitive analysis of price online inventory problem with cost function 认领 引用 被引量：2
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作者 HAN Shu-guang GUO Jiu-ling +1 位作者 ZHANG Lu-ping HU Jue-liang 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2017年第4期493-502,共10页
In this paper,a new price is given to the online decision maker at the beginning of each day.The trader must decide how many items to purchase according to the current price.We present three variants and an online alg... In this paper,a new price is given to the online decision maker at the beginning of each day.The trader must decide how many items to purchase according to the current price.We present three variants and an online algorithm based on cost function.The competitive ratio of the online algorithm is given for each variant,which is a performance measure of an online algorithm.More importantly,we show that the online algorithm is optimal. 展开更多
关键词 inventory problem price online cost function competitive analysis
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