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5th International Conference on Transportation Engineering, ICTE 2015

作者： Ma, Weimin Wu, Lingxiao School of Economics and Management Tongji University 4800 Caoan Rd. Shanghai China

ISBN: (数字)9780784479384

ISBN: (纸本)9780784479384

Containership slot exchange is a new cooperation strategy allowing participating carriers to seek to benefit from sharing capacities. On the basis of analyzing the characteristics of containership slot exchange and allocation problem in short sea cycle routes operated by liner alliances, this paper considers the uncertainties in revenue and demand then proposes a fuzzy chance-constrained slot exchange and allocation optimization programming model. The model takes marginal revenues and demands of different markets in fuzzy environments as fuzzy variables and aims at maximizing the total revenue of the liner alliance which operates multi-routes. A numerical example is applied to attest the method's practicability and feasibility. The conclusion suggests that in fuzzy environments, a proper containership slot exchange and allocation strategy can increase the total revenue of liner alliances significantly. © ASCE.

关键词： fuzzy environments Liner alliances Slot exchange fuzzy chance-constrained programming

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fuzzy chance-constrained programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems

Fuzzy Chance-constrained Programming Based Security Informat...

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作者： Shi, C. G. Brno University of Technology

In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network. Then, without any prior knowledge of hostile intercept receiver, a novel fuzzy chance-constrained programming (FCCP) based security information optimization scheme is presented to achieve enhanced LPID performance in radar network systems, which focuses on minimizing the achievable mutual information (MI) at interceptor, while the attainable MI outage probability at radar network is enforced to be greater than a specified confidence level. Regarding to the complexity and uncertainty of electromagnetic environment in the modern battlefield, the trapezoidal fuzzy number is used to describe the threshold of achievable MI at radar network based on the credibility theory. Finally, the FCCP model is transformed to a crisp equivalent form with the property of trapezoidal fuzzy number. Numerical simulation results demonstrating the performance of the proposed strategy are provided.

关键词： Security information low probability of identification LPID power allocation fuzzy chance-constrained programming FCCP radar network systems

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Total consumption controlled water allocation management for multiple sources and users with inexact fuzzy chance-constrained programming: a case study of Tianjin, China

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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2018年第12期32卷 3299-3315页

作者： Ji, Ling Huang, Guohe Ma, Qiang Beijing Univ Technol Coll Econ & Management Res Base Beijing Modern Mfg Dev 100 Ping Le Yuan Beijing 100124 Peoples R China Univ Regina Environm Syst Engn Program Fac Engn Regina SK S4S 0A2 Canada Nice Sophia Antipolis Univ Ploytech Lab Polytech Nice Sophia 930 Route Colles F-06903 Sophia Antipolis France

Environmental and ecological issues caused by water resources crisis have brought enormous challenges to the sustainable development of water-deficient area. Water resources allocation management balancing the relationship between the social-economic development and the ecological environment has become a hot topic in recent years. In this paper, an inexact fuzzy chance-constrained programming (IFCCP) approach is proposed for regional water resource allocation optimization with the aim of promoting the harmonious development of the social economic and the ecological environment, improving water utilization efficiency, and realizing water resources consumption control under uncertainties. The method is incorporated with interval parameter programming, fuzzy programming, and chance-constrained programming, for handling system uncertainties and balancing the optimal objectives with the risk of violating system constraints. Under this framework, an IFCCP model for water resources allocation management was successfully formulated and applied to a typical water-deficit area, Tianjin, China, for obtaining a better water resources plan among multiple users under resources and environmental limitation. Different total water consumption control policies are designed for assessing regional water allocation schemes. The results indicated that the gap of supply and demand will only be solved by foreign water, the transferred water from Luan River and Changjiang River would still be the main supplier in planning horizon. Moreover, the strict total water consumption control policy would guarantee the water requirement of ecological environment, lead to changes in the structure of water supply, actively guide on water conservation, and promote the large-scale utilization of desalted water and recycle water.

关键词： fuzzy chance-constrained programming Interval programming Water resources allocation Optimization Uncertainties

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A stochastic fuzzy chance-constrained programming model for energy-environment system planning and management in the City of Beijing

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INTERNATIONAL JOURNAL OF GREEN ENERGY 2017年第2期14卷 171-183页

作者： Xu, Ye Huang, Guohe Shao, Liguo North China Elect Power Univ Environm Res Acad MOE Key Lab Reg Energy & Environm Syst Optimizat Beijing Peoples R China Univ Regina Fac Engn & Appl Sci Regina SK Canada China Ctr Informat Ind Dev Beijing Peoples R China

A stochastic and fuzzy chance-constrained programming (SFCCP) model was developed in this study for supporting energy-environment management in the city of Beijing, China. SFCCP was capable of tackling the variables in constraints as fuzzy random variables, which were integration of randomness and vagueness. SFCCP was applied to an energy-environment management system in the city of Beijing. The study results indicated that SFCCP was useful in helping decision makers gain in-depth insights into proposed management system and establish environment-friendly energy allocation alternatives. The application of SFCCP is expected to provide a good demonstration to energy-environment management problems under complex uncertainties.

关键词： Beijing energy-environment system fuzzy chance-constrained programming fuzzy random variables stochastic chance-constrained programming

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A genetic-algorithm-aided fuzzy chance-constrained programming model for municipal solid waste management

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ENGINEERING OPTIMIZATION 2020年第4期52卷 652-668页

作者： Xu, Ye Liu, Xin Hu, Xiaoguang Huang, Guohe Meng, Na North China Elect Power Univ Coll Environm Sci & Engn MOE Key Lab Reg Energy & Environm Syst Optimizat Beijing Peoples R China Univ Sci & Technol Liaoning Coll Econ & Management Anshan Peoples R China Univ Regina Fac Engn Regina SK Canada

A genetic-algorithm-aided fuzzy chance-constrained programming (GAFCCP) model is developed for supporting municipal solid waste (MSW) management under uncertainty. The proposed model is an innovative combination of the genetic algorithm (GA) and fuzzy chance-constrained programming (FCCP) method and thus makes a unique contribution to enhancing the feasibility and applicability of the optimization model. The GA was capable of tackling the complicated fuzzy membership function and was used to seek optimal solutions by progressively evaluating the performance of the individual solutions;meanwhile, FCCP ensured that the fuzzy constraints were satisfied at specified confidence levels, leading to cost-effective solutions under acceptable risk magnitudes. A long-term regional waste management model of Zhongshan City, China, was formulated to demonstrate the applicability of the proposed GAFCCP model. The comparison results with ongoing treatment schemes demonstrated the superiority of the generated model solutions in the aspects of cost reduction and greenhouse gas emission mitigation.

关键词： Genetic algorithm fuzzy chance-constrained programming greenhouse gas solid waste management Zhongshan City

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A simulation-based fuzzy chance-constrained programming model for optimal groundwater remediation under uncertainty

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ADVANCES IN WATER RESOURCES 2008年第12期31卷 1622-1635页

作者： He, L. Huang, G. H. Lu, H. W. Univ Regina Fac Engn Environm Syst Engn Program Regina SK S4S 0A2 Canada N China Elect Power Univ Chinese Res Acad Environm Sci Beijing 100012 Peoples R China

In this study a simulation-based fuzzy chance-constrained programming (SFCCP) model is developed based on possibility theory. The model is solved through an indirect search approach which integrates fuzzy simulation, artificial neural network and simulated annealing techniques. This approach has the advantages of. (1) handling simulation and optimization problems under uncertainty associated with fuzzy parameters, (2) providing additional information (i.e. possibility of constraint satisfaction) indicating that how likely one can believe the decision results, (3) alleviating computational burdens in the optimization process, and (4) reducing the chances of being trapped in local optima. The model is applied to a petroleum-contaminated aquifer located in western Canada for supporting the optimal design of ground-water remediation systems. The model solutions provide optimal groundwater pumping rates for the 3, 5 and 10 years of pumping schemes. It is observed that the uncertainty significantly affects the remediation strategies. To mitigate such impacts, additional cost is required either for increased pumping rate or for reinforced site characterization. (c) 2008 Published by Elsevier Ltd.

关键词： fuzzy simulation fuzzy chance-constrained programming Possibility Groundwater remediation Petroleum contamination

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Active Power Output Calculation of Wind Farms Connected to Power Grids Based on fuzzy chance-constrained programming

Active Power Output Calculation of Wind Farms Connected to P...

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4th IEEE Conference on Industrial Electronics and Applications

作者： Zhu He Xu Jianyuan Wang Xiaoyu Shenyang Univ Technol Shenyang 110178 Peoples R China

ISBN: (纸本)9781424427994

Based on the fuzzy random chance-constrained programming(FRC)theory, the paper presents a method to calculate active power output of large-scale wind farms connected to power grid. The calculation of calculate active power output can be turned into a FRC programming problem which constrained conditions. This paper put forward a mathematical model of calculate active power in wind power integrated system based on FRC programming form. These include ramp constrains of the generating units, output restricted zone, line transmission capacity, reserved capacity constraints, the balance of load and so on. The question is solved by particle swarm optimization based fuzzy simulations. The results on IEEE30 system demonstrate the advantages of the proposed approach.

关键词： active power output fuzzy chance-constrained programming particle swarm optimization wind farms

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A fuzzy chance-constrained programming model for integrated planning of the wheat supply chain considering wheat quality and sleep period: A case study

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SCIENTIA IRANICA 2022年第5期29卷 2593-2609页

作者： Pourmohammadi, F. Teimoury, E. Gholamian, M. R. Iran Univ Sci & Technol Dept Ind Engn Tehran Iran

Wheat is a staple food in many countries and as a result, the first most cultivated crop worldwide. Since wheat is a vital product in terms of food security, its supply chain needs to be studied and planned carefully. This paper proposes a mixed-integer linear programming model for integrated planning of imported and domestically produced wheat that addresses supplier selection, order planning, transportation, storage, and distribution problems at the same time. Specifically, this model focuses on the wheat quality and wheat sleep period. Moreover, differentiation of long-term and short-term storage facilities and consideration of intra-layer flows between storage facilities are other characteristics of this model. A fuzzy chance-constrained programming approach is employed to cope with the uncertainties associated with domestic supply, demand, and global wheat prices. The applicability and advantages of the developed model are demonstrated using real data from the wheat supply chain of Iran. Results illustrate that the current status of the wheat supply chain of Iran is far from optimality and there are many opportunities for improvement. (c) 2022 Sharif University of Technology. All rights reserved.

关键词： Agri-food supply chain Wheat supply chain Blending Intra-layer flows fuzzy chance-constrained programming

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A fuzzy fractional chance-constrained programming model for air quality management under uncertainty

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ENGINEERING OPTIMIZATION 2016年第1期48卷 135-153页

作者： Liu, Feng Wen, Zhi Xu, Ye Univ Sci & Technol Beijing Beijing Key Lab Energy Saving & Emiss Reduct Met Beijing 100083 Peoples R China Univ Sci & Technol Liaoning Sch Met & Mat Anshan Peoples R China North China Elect Power Univ Sino Canada Resources & Environm Res Acad MOE Key Lab Reg Energy & Environm Syst Optimizat Beijing Peoples R China

A fuzzy fractional chance-constrained programming model (FFCCPM) was developed for dealing with air quality management under uncertainty. FFCCPM integrates a fractional programming model and a double-sided fuzzy chance-constrained programming model. It considers the ratio between total treated pollutant amounts and system cost in the objective function;the constraints with fuzzy variables can be satisfied under some predetermined confidence levels and reliability scenarios. The air quality management system in Fengrun district, Tangshan City, China, was used to demonstrate the applicability of the proposed method. The obtained results indicated that the proposed model was suitable in describing and providing an overview of a studied management system for decision makers, generating various cost-effective air pollution-abatement alternatives. The strategy with a balance between system economy and reliability was recommended for decision makers. The successful application of FFCCPM in Fengrun district provides a good example of real-world regional air quality management.

关键词： fractional programming fuzzy chance-constrained programming ratio air quality management Fengrun district

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A Production Planning Method Based on fuzzy chance-constrained programming

A Production Planning Method Based on Fuzzy Chance-constrain...

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第17届工业工程与工程管理国际学术会议(IE&EM2010)

作者： Jian ZHANG,Hai-ping ZHU,Fei-fei HUA School of Mechanical Science and Engineering,University of Science and Technology,Wuhan,China

In order to accurately describe the uncertainty in production environment,an approach on making production planning with fuzzy information is proposed. Based on the credibility theory,a fuzzy chance-constrained programming model is *** the uncertain information presented as trapezoidal fuzzy number,the model can be transformed into its corresponding crisp equivalent *** the end,the proposed approach is applied to a realistic fuzzy APP problem,and the result demonstrates that production planning can be modeled into a fuzzy chance-constrained programming and the model can well describe the uncertainty in actual environment.

关键词： crisp equivalent fuzzy chance-constrained programming production planning

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