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Solving polyhedral d.c. optimization problems via concave minimization

JOURNAL OF GLOBAL OPTIMIZATION 2020年第1期78卷 37-47页

作者： vom Dahl, Simeon Loehne, Andreas Univ Paris Sud Dept Math F-91400 Orsay France Friedrich Schiller Univ Jena Dept Math D-07737 Jena Germany

The problem of minimizing the difference of two convex functions is called polyhedral d.c. optimization problem if at least one of the two component functions is polyhedral. We characterize the existence of global optimal solutions of polyhedral d.c. optimization problems. This result is used to show that, whenever the existence of an optimal solution can be certified, polyhedral d.c. optimization problems can be solved by certain concave minimization algorithms. No further assumptions are necessary in case of the first component being polyhedral and just some mild assumptions to the first component are required for the case where the second component is polyhedral. In case of both component functions being polyhedral, we obtain a primal and dual existence test and a primal and dual solution procedure. Numerical examples are discussed.

关键词： Global optimization D c programming multi-objective linear programming linear vector optimization

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Emergy based optimization of regional straw comprehensive utilization scheme

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JOURNAL OF CLEANER PRODUCTION 2021年 297卷 126638-126638页

作者： Xu, Zhaopeng Tang, Yuzhou Wang, Qingsong Xu, Yue Yuan, Xueliang Ma, Qiao Wang, Guangxu Liu, Mingqiang Hao, Hongli Minist Educ Shandong Key Lab Energy Carbon Reduct & Resource Res Ctr Sustainable Dev Natl Engn Lab Reducing Emiss Coal CombustEngn Re Jinan 250061 Shandong Peoples R China Beijing Jiaotong Univ Sch Econ & Management Beijing 100044 Peoples R China

With the continuous development for the straw utilization industry, studying the sustainability of different straw utilization industries and the realization of the optimal distribution of regional straw utilization industries has become an important issue. This paper studied the straw utilization industry in Shandong through field investigation and literature research, and comprehensively evaluated these industries through emergy analysis. Results showed that the emergy-based sustainability indexes (ESI) of straw biogas (SBP) and feed productions (SFP) are both high, 1.61 and 1.49 respectively, which should be encouraged. ESIs of straw-based particleboard (SBPP) and straw-bioethanol production (SP) are low, 0.61 and 0.54 respectively, which should be restricted, and other ways could be developed appropriately. Moreover, a methodology combining emergy analysis and multi-objective programming was constructed to solve optimization of regional straw comprehensive utilization scheme. The results suggested that if the main goal was to improve the regional economy, the proportion of straw returning to the field (SRF) should be reduced and that of the SBP should be increased. If the environmental impact was the main optimization goal, then SRF should be the main straw treatment method. Furthermore, to avoid adverse effects on environmental benefits and sustainable development, it was recommended that more attention should be paid to avoid blindly pursuing the increase in the scale of straw utilization. (C) 2021 Elsevier Ltd. All rights reserved.

关键词： Straw utilization Emergy analysis multi-objective linear programming Sustainable development

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A multi-objective linear programming model for a regional two-phase MSW transfer system in a medium sized city - A case study in Zhongshan, China

A multi-objective linear programming model for a regional tw...

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International Conference on Energy, Environment and Sustainable Development (ICEESD 2011)

作者： Zhou, Jingcheng Chen, Haibin Hu, Yang Zhang, Haolan Ren, Li Huazhong Univ Sci & Technol Dept Environm Sci & Engn Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9783037852675

Municipal solid waste management (MSWM) has consistently improved to keep up with the vast amount of solid waste in urban and rural areas. Research on optimization for an efficient management system has a place for the collection, transportation and transfer of solid waste. Waste transfer optimization attempts to minimize the inconvenience and costs, which must transfer between waste generation source and waste disposal sites (WDSs). In this paper, a multi-objective linear programming Model for the Two-phase Waste Transfer System (MOLPMWTS) is assumed to be given, with which the two-phase waste transfer stations (WTSs) and motor carriers for waste transfer are take into account. And a two-phase waste transfer system in town of Guzhen, Zhongshan, China, is presented. The case showed a multi-objectives for numerical minimization of allocation of WTSs and transfer carriers.

关键词： Optimization model for MSW transfer Two-phase transfer system Primary transfer Secondary transfer multi-objective linear programming

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Evaluation and advancement of the integrated circular economy model of farming and stock raising

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Chinese Journal of Population,Resources and Environment 2020年第4期18卷 350-360页

作者： Qingsong Wang Mingqiang Liu Yuzhou Tang Xueliang Yuan Qiao Ma Research Center for Sustainable Development School of Energy and Power EngineeringShandong UniversityJinan250061China

The integrated circular economy model of farming and stock raising(ICEMFSR)has attracted increased attention as an effective model for solving the current irrational allocation of agricultural resources and realizing the agricultural value-added industrial *** study uses emergy analysis to comprehensively examine and evaluate the economic benefits,environmental pressures,and sustainable development levels of ICEMFSR in Shucheng County,*** results show that the ICEMFSR possesses the value of popularization with optimally allocated resources in the studied region,in which the emergy yield ratio(EYR),emergy loading ratio(ELR),and emergy sustainable index(ESI)in this model accounted for 3.59,1.25,and 2.89,*** result indicates a leading position in the national agricultural ***,this study constructs a new model based on the coupling of emergy evaluation and multi-objective linear programming to study ***,the EYR,ELR,and ESI respectively varied by +24.23%,10.40%,and +38.06%after replanning of *** variation implies a significant improvement in the sustainable development level of the *** addition,the optimized scenario design for key substances is proposed based on traceability and the reduce-reuse-recycle principle,including biogasification of crop straw and enhancement of crop scientific planting capacity.

关键词： Circular economy model Emergy evaluation multi-objective linear programming Optimization suggestions

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Integrated model for renewable energy planning in Turkey

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INTERNATIONAL JOURNAL OF GREEN ENERGY 2019年第1期16卷 34-48页

作者： Aksoy, Asli Bursa Uludag Univ Fac Engn Dept Ind Engn Gorukle Kampus Bursa Turkey

All economic sectors are associated with energy use;therefore, government organizations aim to supply sustainable energy for human needs and economic growth. In particular, increased environmental concerns of the public in Turkey have impacted policymaking for renewable energy (RE) management in Turkey. The primary objective for RE sources of the Turkish Ministry of Energy is to ensure that 30% of the share of electricity production is from RE resources in 2023. In this paper, the integrated multi-objective, multi-period linear programming model is presented to determine effective allocation of RE supply for seven different geographical regions in Turkey for the period of 2017 to 2024. The integrated model consists of two different stages. The first stage involves qualitative evaluations of RE sources for seven geographical regions. Analytical Hierarchy Process (AHP) is applied to determine criteria priorities and overall ratings of geographical regions across determined criteria for RE sources are computed. The second stage of the integrated model consists of a multi-objective, multi-period linear programming model. The proposed multi-objective linear programming model is coded in MPL (Mathematical programming Language) and solved using the GUROBI 5.1.0 solver. The output of the integrated model presents the total supply amount of RE sources for geographical regions in planning period. The epsilon-constraints method is applied to compute the total supply amount of RE from geographical regions for the period of 2017 to 2024. In this study, a systematic decision-making model is generated to allocate renewable energy sources to the geographical regions. The presented model integrates qualitative evaluations and quantitative parameters of different geographical regions to determine the optimal supply amount of RE. The obtained results are consistent with the potential quantities of RE alternatives in geographical regions, regional specifications, and social requirement

关键词： Energy management green energy renewable energy sustainable decision making multi-objective linear programming

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Socio-economic benefit and profitability analyses of Austrian hydro storage power plants supporting increasing renewable electricity generation in Central Europe

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RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2019年第Jun.期107卷 482-496页

作者： Dallinger, Bettina Schwabeneder, Daniel Lettner, Georg Auer, Hans Tech Univ Wien Energy Econ Grp Inst Energy Syst & Elect Drives Gusshausstr 25-29-E370-3 A-1040 Vienna Austria

Increasing flexibility in electricity systems with high-shares of volatile renewable generation is on top of the European policy making agenda. Large-scale pumped hydro storages are appropriate technology candidates to accomplish this. Therefore, they are one of the focus technologies of the European Commission in the Projects of Common Interest discussion. In order to get listed a thorough system benefit analysis has to be conducted. This paper investigates a comprehensive socio-economic benefit analysis of storage technologies according to the indicators expected by the European Commission. The dispatch model EDisOn + Balancing is applied, which includes the functionalities depicting balancing mechanisms. Additionally, the profitability analysis tries to sort out the most convincing business cases where storage technologies contributing to more flexibility in the electricity system can sustain in the long-run. A simulation tool has been developed to model and quantify flexibility options, and to evaluate the profitability from the owner's point-of-view. The results show that in Central Europe with increasing storage capacities the necessity of reserve capacity and investments in peaking units decreases while maintaining a high security of supply level. In addition to electricity generation and balancing cost reductions, shedding of renewables and significant amounts of environmental damage costs of up to 1300 MEuro/a can be avoided. The profitability study shows that a reduction of minimum load or retrofitting hydro reservoir storages with pump mode increase the hours of participation in balancing markets and machine utilisation, e.g. operating hours and frequency of machine starts. With the latter also wear of machines increases. Therefore, it is important to find the optimum in terms of machine starts and market benefits. Several benefits are presented per installed capacity to provide scalability and transferability of outcomes for other applications. Furthermo

关键词： Pumped hydro storages Socio-economic benefits Operating strategies Profitability multi-objective linear programming Austria

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A multi-objective extended input-output model for a regional economy

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SUSTAINABLE PRODUCTION AND CONSUMPTION 2019年 20卷 15-28页

作者： Sanchez, Daniel Rojas Hoadley, Andrew F. A. Khalilpour, Kaveh Rajab Monash Univ Dept Chem Engn Melbourne Vic 3800 Australia Monash Univ Fac Informat Technol Melbourne Vic 3800 Australia

Economies are constrained by a variety of economic, social, and political factors to attempt a reduction in environmental impacts such as global warming. While improvements in technology are commonly the expected general solution, lifestyle changes and modifications on consumption are also necessary to effectively reduce pollution. Such regulations may modify production activities, thus altering economic and social stability. Therefore, analyses need to consider numerous different aspects to locate suitable sectors in the economy in which emission reduction can be accomplished with the least socio-economic impact. Through an extended input-output analysis, this paper gives an insight into the intricate relationship of the sectors of an economic region and their respective greenhouse gas (GHG) emissions. Taking both a producer and a consumer-based perspective, sectors are analysed and categorised through various socio-economic and environmental indicators. The descriptive approach discerns between emission inventories of production activities and embodied emissions of consumption patterns, thus assigning a different responsibility to the carbon footprint of industrial activities. Further, an innovative multi-objective optimisation model is developed with consideration of Gross Domestic Product (GDP), GHG emissions, and employment. This methodology enables mapping an optimised space of scenarios for emission reduction through consumption limitation with a minimal socio-economic loss. The Australian economy was used as a case study. Results show a substantial difference in the allocation of emissions from a producer and a consumer perspective, indicating that many sectors rely on a small number of emissions-intensive sectors for their activities. Through the optimisation, all possible emission reductions are linked to consumption limit scenarios of minimised economic and employment losses. The model is effective in showing areas of interest for further scrutiny in cons

关键词： Input-output analysis multi-objective optimisation multi-objective linear programming Greenhouse gas Global warming potential Consumption modification Carbon footprint Embodied emissions

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A model to support the decision-making in urban regeneration

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LAND USE POLICY 2020年 99卷 104865-104865页

作者： Manganelli, Benedetto Tataranna, Sabina Pontrandolfi, Piergiuseppe Univ Basilicata Sch Engn Viale Ateneo Lucano I-85100 Potenza Italy Univ Basilicata Dept European & Mediterranean Cultures Viale San Rocco 3 I-75100 Matera Italy

Urban regeneration represents an opportunity for sustainable development and smart growth of towns. The European best practices of urban regeneration demonstrate its effectiveness to valorize obsolete existing buildings, through integrated design of energy and structural upgrade. In countries of southern Europe, characterized by medium to high seismic risk, programs of urban regeneration, would make it possible to reduce buildings vulnerability, through seismic upgrade/retrofit interventions, or alternatively, through demolition and reconstruction interventions, when the previous ones do not allow the improvement of seismic performance of building structures in order to ensure adequate levels of safety. The research work sets out a real case for a possible process of urban regeneration, of a residential neighborhood located in the city of Matera, through demolition of existing buildings and then their reconstruction in the same volume size or, eventually, increased in relation to the premiums of volume required by current regulations. The process involves three different categories of stakeholders: residents, public sector and private investor responsible for executing and financing of the entire processing. Each of them with different and contrasting needs. At the end of the process, the new surfaces should be redistributed between residents and private investor. These shares, with the volumetric premium, constitute the unknown variables of the problem and, their possible combinations represent the different possible options of intervention. The problem is solved through the construction of the model based on the objective functions, expressed by utility functions, defined for each stakeholder. The search for the optimum solution, which is able to balance the different utilities, is carried out with multi-objective linear programming.

关键词： Urban regeneration Sustainability of built environment Housing market multi-objective linear programming Cost effectiveness

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TWO INNOVATIVE COALITION FORMATION MODELS FOR DYNAMIC TASK ALLOCATION IN DISASTER RESCUES

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Journal of Systems Science and Systems Engineering 2018年第2期27卷 215-230页

作者： Xing Su YuechenWang Xibin Jia Limin Guo Zhiming Ding Faculty of Information Beijing University of Technology Beijing 100124 China

This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single （task）-to-single （agent） task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.

关键词： Disaster rescues multi-objective linear programming cooperative agents multi-stage taskallocation

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Patients' satisfaction: The medical appointments valence in Portuguese public hospitals

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OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 2018年 80卷 58-76页

作者： Ferreira, D. C. Marques, R. C. Nunes, A. M. Figueira, J. R. Univ Lisbon Inst Super Tecn CESUR CERIS Lisbon Portugal Univ Lisbon Inst Super Tecn CEG IST Lisbon Portugal

Measuring patients' satisfaction in secondary health care-based medical appointment services is a rarely addressed, though a very important, task. In general, this task is devoted to the emergency room. Improving (other) areas where patients are mostly dissatisfied assumes a relevant role since in Beveridge-based health systems providers are mainly financed through taxes. This paper aims to evaluate the satisfaction of Portuguese patients with reference to the national health system and public hospital medical appointment services, as well as to identify main priority areas of low performance. Data is collected from a report created and made available overtly by an official entity, managed by the Ministry of Health. Data consists of frequencies of patients assessing their own satisfaction (in four levels) regarding a set of seven criteria, five of them split into several subcriteria. These ones were selected based on their availability, suitability, and the literature review, and aimed to characterize the hospitals' medical appointments valence concerning their image, cleanliness, facilities quality, technological progress, staff professional competence and care, as well as the waiting time in different stages before and after the medical appointment. This paper makes use of the so-called multicriteria Satisfaction Analysis (MUSA) method, which is a very useful linear programming model developed and used with the intention of analyzing customer satisfaction and identifying priorities to improve the provider's performance. Since data consists of frequencies in four satisfaction levels for a set of criteria and subcriteria, simulated patients were used based on a bootstrap-based technique, admitting independence between criteria/subcriteria. MUSA results allow the clustering of criteria according to Kano's model and its refined version (must-be, one-dimension and attractive requirements), upon which satisfaction improving strategies must be formulated. Accordingly, th

关键词： Interval objective functions multi-objective linear programming Patients' satisfaction Medical appointments Portuguese public hospitals

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