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Adding a new station and a road link to a road-rail network in the presence of modal competition

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL 2014年第Oct.期68卷 1-16页

作者： Perea, Federico Mesa, Juan A. Laporte, Gilbert Univ Politecn Valencia Dept Estad & Invest Operat Aplicadas & Calidad Valencia Spain Univ Seville Dept Matemat Aplicada 2 Seville Spain HEC Montreal CIRRELT Montreal PQ Canada HEC Montreal Canada Res Chair Distribut Management Montreal PQ Canada

In this paper we study the problem of locating a new station on an existing rail corridor and a new junction on an existing road network, and connecting them with a new road segment under a budget constraint. We consider three objective functions and the corresponding optimization problems, which are modeled by means of mixed integer non-linear programs. For small instances, the models can be solved directly by a standard solver. For large instances, an enumerative algorithm based on a discretization of the problem is proposed. Computational experiments show that the latter approach yields high quality solutions within short computing times. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Station location Road-rail network design Infrastructure planning non-linear programming

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New tests with a multipurpose parallel genetic hybrid algorithm

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KYBERNETES 2001年第1-2期30卷 193-203页

作者： Östermark, R Abo Akad Univ Dept Business Adm Turku Finland

A newly developed genetic hybrid algorithm (GHA) is applied for complex nonlinear programming problems. The algorithm combines features from parallel programming, classical nonlinear optimization methodology and evolutionary computation utilizing a powerful accelerator technique. The algorithm compares well with other evolutionary programming techniques on a set of difficult mathematical programming problems. The test results add significant evidence on the potential of the general solution framework in solving complicated optimization problems. Some suggestions for further research are also provided.

关键词： cybernetics computation genetic algorithms non-linear programming

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Applying multiple objective tabu search to continuous optimization problems with a simple neighbourhood strategy

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INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING 2006年第3期65卷 406-424页

作者： Baykasoglu, A Gaziantep Univ Dept Ind Engn TR-27310 Gaziantep Turkey

One of the first multiple objective versions of the tabu search (TS) algorithm is proposed by the author. The idea of applying TS to multiple objective optimization is inspired from its solution structure. TS works with more than one solution (neighbourhood solutions) at a time and this situation gives the opportunity to evaluate multiple objectives simultaneously in one run. The selection and updating stages are modified to enable the original TS algorithm to work with more than one objective. In this paper, the multiple objective tabu search (MOTS) algorithm is applied to multiple objective non-linear optimization problems with continuous variables using a simple neighbourhood strategy. The algorithm is applied to four mechanical components design problems. The results are compared with several other solution techniques including multiple objective genetic algorithms. It is observed that MOTS is able to find better and much wider spread of solutions than the reported ones. Copyright (c) 2005 John Wiley & Sons, Ltd.

关键词： multiple objective optimization tabu search non-linear programming design optimization

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Modeling and parameters fitting of chemical and phase equilibria in reactive systems for biodiesel production

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BIOMASS & BIOENERGY 2015年 81卷 544-555页

作者： Yancy-Caballero, Daison M. Guirardello, Reginaldo Univ Campinas UNICAMP Sch Chem Engn BR-13083852 Campinas SP Brazil

Biodiesel, a non-toxic biodegradable fuel from renewable sources such as vegetable oils, has been developed in order to reduce dependence on crude oil and enable sustainable development. The knowledge of phase equilibrium in systems containing compounds for biodiesel production is valuable, especially in the purification stage of the biodiesel. nonetheless, the refining process of biodiesel and byproducts can be difficult and can elevate the production costs considerably unless it has an appropriate knowledge about the phase separation behavior. In addition, the transesterification reaction yield for producing biodiesel depends upon several operation parameters e.g. the feed molar ratio oil-to-alcohol and the temperature. These parameters were analyzed through a thermodynamic analysis by direct Gibbs energy minimization method in this paper, with the purpose of calculating the chemical and phase equilibrium of some mixtures containing compounds found in biodiesel production. For this, optimization techniques associated with the GAMS 2.5 software were utilized and the UNIQUAC and NRTL models were applied to represent the non-idealities of the liquid phases. Also, binary interaction parameters of studied compounds were correlated for NRTL and UNIQUAC models by using the least squares principle. The results showed that the use of optimization techniques associated with the GAMS software are useful and efficient tools to calculate the chemical and phase equilibrium by minimizing the Gibbs energy. Moreover, a good agreement was observed in cases in which calculated data were compared with experimental data. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Biodiesel Optimization Gibbs energy minimization Chemical and phase equilibrium non-linear programming

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Economic impacts of natural gas flow disruptions between Russia and the EU

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ENERGY POLICY 2017年 106卷 288-297页

作者： Bouwmeester, Maaike C. Oosterhaven, J. European Commiss L-2920 Eurostat Luxembourg Univ Groningen Fac Econ & Business POB 800 NL-9700 AV Groningen Netherlands

In this paper we use a non-linear programming approach to predict the wider interregional and interindustry impacts of natural gas flow disruptions. In the short rim, economic actors attempt to continue their business-as-usual and follow established trade patters as closely as possible. In the model this is modelled by minimizing the information gain between the original pattern of economic transactions and the situation in which natural gas flows are disrupted. We analyze four scenarios that simulate Russian export stops of natural gas by means of a model calibrated on an international input-output table with six sectors and six regions. The simulations show that at the lower levels of aggregation considerable effects are found. At the aggregate level of the whole economy, however, the impacts of the four scenarios are negligible for Europe and only a little less so for Russia itself. Interestingly, the effects on the size of the economy, as measured by its GDP, are predominantly positive for the various European regions, but negative for Russia. The effects on the welfare of the populations involved, however, as measured by the size of domestic final demand, have an opposite sign;with predominantly negligible but negative effects for European regions, and very small positive effects for the Russian population.

关键词： Natural gas Supply shocks non-linear programming Russia European Union

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SWIMS: A dynamic life cycle-based optimisation and decision support tool for solid waste management

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JOURNAL OF CLEANER PRODUCTION 2018年 196卷 547-563页

作者： Roberts, Keiron P. Turner, David A. Coello, Jonathan Stringfellow, Anne M. Bello, Ibrahim A. Powrie, William Watson, Geoff V. R. Univ Southampton Fac Engn & Environm Univ Rd Southampton SO17 1BJ Hants England Empa Swiss Fed Labs Mat Sci & Technol Technol & Soc Lab Lerchenfeldstr 5 CH-9014 St Gallen Switzerland Improbable 30 Farringdon Rd London EC1M 3HE England

Solid waste management (SWM) decision makers are under increasing pressure to implement strategies that are both cost effective and environmentally sound. Consequently, SWM has developed into a highly complex systemic planning problem and analytical tools are needed to assist in the development of more sustainable SWM strategies. Here, we present the Solid Waste Infrastructure Modelling System (SWIMS) software, which is the first non-linear dynamic, LCA-based optimisation tool for SWM that optimises for both economic and environmental performance. The environmental and economic costs of treating generated wastes at available treatment facilities are calculated through a series of life cycle process models, based on non-linear expressions defined for each waste material and each treatment process type. Possible treatment paths for waste streams are identified using a depth first search algorithm and a sequential evolutionary genetic algorithm is used to prioritise the order of these paths, in lieu of user defined optimisation criteria and constraints. SWIMS calculates waste arisings into the future and determines if it is possible to treat generated waste, while considering present and future constraints (e.g. capacity). If additional capacity is required, SWIMS will identify the optimum infrastructure solution to meet this capacity demand. A demonstrative case study of MSW management in GB from 2010 to 2050 is presented. Results suggest that sufficient capacity is available in existing and planned infrastructure to cope with future demand for SWM and meet national regulatory and legislative requirements with relatively little capital investment beyond 2020. SWIMS can be used to provide valuable information for SWM decision makers, particularly when used to analyse the effects of possible future national or regional policies. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Life cycle assessment Optimisation Infrastructure planning Waste management non-linear programming Sustahiability

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Real-time smart distribution system reconfiguration using complementarity

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ELECTRIC POWER SYSTEMS RESEARCH 2016年 134卷 97-104页

作者： Masteri, K. Venkatesh, B. Ryerson Univ Toronto ON Canada Ryerson Univ Dept Elect & Comp Engn Toronto ON Canada Ryerson Univ Ctr Urban Energy Toronto ON Canada

Smart Radial Distribution Systems (SRDS) of the future will have improved reliability, performance and flexibility in operation by using algorithms such as optimal reconfiguration in real-time in their distribution management systems. However, today, optimal reconfiguration algorithms are largely academic because of challenges such as they (1) depend upon heuristic techniques that require repeated runs and are not suitable for real-time applications, (2) do not guarantee an optimal solution and, (3) do not provide insight into solution space. In order to realize SRDS of the future, a real-time optimal reconfiguration algorithm is proposed, which uses a classic nonlinear optimization technique and guarantees an optimal solution in the least time. The method is based upon a complementarity technique that transforms discontinuous solution spaces into continuous, enabling use of classical nonlinear optimization techniques without resorting to heuristics. Using the complementarity technique, a nonlinear optimization formulation and classical solution method is needed to optimally reconfigure a SRDS and to minimize losses while obtaining an acceptable voltage solution is proposed. This is successfully demonstrated on 7-bus, 33-bus, and 69-bus distribution systems and the results are compared with those available in literature with respect to solution time, accuracy in results and robustness of the proposed algorithm and demonstrate superiority of the proposed technique. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Radial distribution system Real-time reconfiguration Complementarity non-linear programming

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Some mathematical properties of a DEA model for the joint determination of efficiencies

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JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY 1997年第1期48卷 51-56页

作者： Molinero, CM Tsai, PF The University of Southampton

This paper explores the Kuhn-Tucker conditions and convexity issues in a non-linear DEA model for the joint determination of efficiencies developed by Mar Molinero. It is shown that the usual convexity conditions that apply to linear programming problems are satisfied in this case. First order Kuhn-Tucker conditions are derived and interpreted. Estimation strategies are suggested. Some empirical work is reported.

关键词： DEA non-linear programming joint efficiencies

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Evaluating Robust Product Design in Production Line: An Exploratory Investigation on Response Surface Methodology

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JOURNAL OF TESTING AND EVALUATION 2017年第5期45卷 1862-1869页

作者： Eslamipoor, R. Hosseini-Nasab, H. Yazd Univ Fac Engn Dept Ind Engn Yazd Iran

Inadequate control of a production line can result in catastrophic ramifications, which may lead to low-quality products. For this reason, enhancing the quality of product in the first stages of development requires considerable attention. In this regard, robust parameter design for product has emerged as an outstanding tool. This article presents a robust parameter design in one product, into which the concept of response surface methodology has been infused. Through this, by encompassing the variance and mean of response variable, an integrated approach is presented to combine three phases of product development: system design, parameter design, and tolerance design. Moreover, to survive in a competitive market, companies must produce appealing products. Therefore, we resorted to a feasible scheme to enhance customer satisfaction in the production process through the implementation of the desirability function concept. To approve the suitability of the presented method, it has been executed in an actual case study. Research results emphasize that the demonstrated model is more effective than dual-response and mean-square error techniques.

关键词： robust product design production response surface methodology filtration rate product non-linear programming

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Life cycle perspective of bio-oil and biochar production from hardwood biomass;what is the optimum mix and what to do with it?

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JOURNAL OF CLEANER PRODUCTION 2019年 212卷 173-189页

作者： Lu, Hangyong Ray El Hanandeh, Ali Griffith Univ Sch Engn & Built Environm Nathan Qld 4111 Australia

Many studies identified the optimum temperature to maximise bio-oilibiochar yield using fast pyrolysis from woody biomass. However, the optimum mix of biochar and bio-oil production and their final utilisation to achieve optimal environmental and economic benefits are yet to be investigated. Hence, the aim of this study was to identify the optimum mix and utilisation using life cycle assessment and costing approach. Two utilisation scenarios were analysed: Scenario 1 considered terrestrial carbon sequestration through spreading biochar in corn fields while Scenario 2 assumed the co-combustion of biochar to displace coal in a coal-fired power station. In both scenarios, bio-oil was assumed to substitute heavy fuel oil in an industrial boiler. The functional unit used in the study was 1 Mg of green thinned logs from hardwood plantations. Scenario 1 showed outstanding greenhouse gas emissions offset (1680 kg-CO2eq per function unit). However, this scenario lagged behind when considering other environmental impacts. Scenario 2 delivered more modest greenhouse gas offset, but it had better overall environmental and economic performance. The results indicated that the overall environmental performance of Scenario 2 decreased with increasing pyrolysis temperature due to the decline in biochar yield as well as the increased energy consumption during the pyrolysis process. Meanwhile, lifecycle cost reduced when the pyrolysis temperature increased because of the increased bio-oil production, which has higher economic value than biochar. Assuming equal weights for the environmental and economic functions, the optimal performance of Scenario 2 is likely to be achieved when the pyrolysis process is run at 500 degrees C with the bio-oil and biochar yields being 64% and 22%, respectively. Monte Carlo Analysis revealed that for balanced environmental and economic weights (30%-70%) the solution is robust. The Monte Carlo Analysis results suggested that under the optimal conditions,

关键词： Biochar Emissions reduction Environmental and economic optimisation non-linear programming Wood pyrolysis

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