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A Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem

JOURNAL OF APPLIED MATHEMATICS 2013年第unknown期000卷 1-10页

作者： Boyer, Omid Hong, Tang Sai Pedram, Ali Yusuff, Rosnah Bt Mohd Zulkifli, Norzima Islamic Azad Univ Dept Ind Engn Najafabad Isfahan Iran Univ Putra Malaysia Fac Engn Dept Mech & Mfg Engn Serdang 43400 Selangor Malaysia

Technology progress is a cause of industrial hazardous wastes increasing in the whole world. Management of hazardous waste is a significant issue due to the imposed risk on environment and human life. This risk can be a result of location of undesirable facilities and also routing hazardous waste. In this paper a biobjective mixed integer programing model for location- routing industrial hazardous waste with two objectives is developed. First objective is total cost minimization including transportation cost, operation cost, initial investment cost, and cost saving from selling recycled waste. Second objective is minimization of transportation risk. Risk of population exposure within bandwidth along route is used to measure transportation risk. This model can help decision makers to locate treatment, recycling, and disposal centers simultaneously and also to route waste between these facilities considering risk and cost criteria. The results of the solved problem prove conflict between two objectives. Hence, it is possible to decrease the cost value by marginally increasing the transportation risk value and vice versa. A weighted summethod is utilized to combine two objectives function into one objective function. To solve the problem GAMS software with CPLEX solver is used. The problem is applied in Markazi province in Iran.

关键词： HAZARDOUS waste management MATHEMATICAL models mixed integer linear programming INDUSTRIAL waste & the environment TRANSPORTATION costs COST control RECYCLING (Waste, etc.)

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Erratum to “A discrete colonial competitive algorithm for hybrid flowshop scheduling to minimize earliness and quadric tardiness penalties” [Expert Syst. Appl. 38 (2011) 14490–14498]

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Expert Systems with Applications 2013年第10期40卷 4270-4272页

作者： Hong-Yan Sang School of Mathematics Science Liaocheng University Liaocheng 252059 China

In this note, we point out that the mixed integer programming model of a hybrid flowshop scheduling problems presented by Behnamian and Zandieh [Expert Syst. Appl. 38 (2011) 14490–14498] is incorrect. We also point o... 详细信息

关键词： Hybrid flowshop mixed integer linear programming Scheduling

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European market integration with both physical and non-physical markets

European market integration with both physical and non-physi...

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International Conference on the European Energy Market

作者： Grigoris A. Dourbois Dimitris I. Chatzigiannis Pandelis N. Biskas Anastasios G. Bakirtzis Department of Electrical & Computer Engineering Aristotle University of Thessaloniki

ISBN: (纸本)9781479925582

In view of the forthcoming large-scale RES penetration, physical markets should check the feasibility of the electricity market clearing against their internal (intra-zonal) transmission network constraints, considering full network topology. Three methods for the solution of a market-splitting problem in a Europe-wide level are implemented in this paper. Two iterative processes are employed, iterating between the overall optimization algorithm and intra-zonal power flows of the countries/regions that identify possible internal congestions;the iterative processes terminate when all internal transmission constraints are satisfied. The results of the iterative processes are compared with the results of a one-stage solution of the overall problem, which incorporates the full set of transmission constraints of all European electricity markets. The proposed algorithms are also compared in terms of computational efficiency using the full UCTE network.

关键词： Internal Electricity Market Market Splitting mixed integer linear programming Power Transfer Distribution Factors

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European Electricity Market Integration under Various Network Representations

European Electricity Market Integration under Various Networ...

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IREP Symposium - Bulk Power System Dynamics and Control

作者： Dimitris I. Chatzigiannis Pandelis N. Biskas Anastasios G. Bakirtzis Power Systems Lab Department of Electrical and Computer Engineering Aristotle University of Thessaloniki

ISBN: (纸本)9781479902002

The integration of the European electricity market constitutes a critical and contemporary issue, expected to take place within year 2015. In view of the forthcoming RES penetration, physical markets with unit-based offers -either power pools or Power Exchanges (PXs)- check the feasibility of the electricity market solution against their intra-zonal transmission capacity constraints. An iterative process is examined, with two variations, differentiating only in the way that the internal network of each physical market is represented. In each iteration of the proposed algorithm, intra-zonal power flows are calculated, possible violations of internal transmission limits are identified and additional constraints are incorporated in the centralized market splitting problem, in order to avoid the overloading of internal transmission lines. The attained results are compared to those of a centralized market-splitting problem, considering the full European network configuration. The above methods are compared in terms of (a) solution efficiency, (b) correct pricing and (c) computational efficiency.

关键词： Internal Electricity Market Power Pool Power Exchange Market Splitting mixed integer linear programming Power Transfer Distribution Factors

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A Branch-and-Cut algorithm for the Single Source Capacitated Facility Location problem

A Branch-and-Cut algorithm for the Single Source Capacitated...

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International Conference on Advanced Logistics and Transport

作者： Pasquale Avella Maurizio Boccia Sara Mattia Dipartimento di Ingegneria - Universita del Sannio Istituto di Analisi dei Sistemi ed Informatica (IASI) Consiglio Nazionale delle Ricerche (CNR)

ISBN: (纸本)9781479903146

Several mixed integer linear programming problems present a formulation based on a great number of knapsack constraints. Problems widely addressed in literature with this structure are, among others, Generalized Assignment, Multiple Knapsack, Bin Packing, Capacitated P-median and Single Source Capacitated Facility Location. In general knapsack constraints make these problems very hard to solve. The state of the art on these problems requires to use approaches besed on Lagrangean Relaxation or decomposition approaches like Dantzig-Wolfe and Column Generation tenchniques. In this paper, we present an approach based on the generation of general cutting planes of the polyhedron associated with each knapsack constraints. This approach yelds a lower bound for the LP-relaxation that is the same obtained by the Dantzig-Wolfe decomposition and henceforth stronger than the LP-relaxation. We use this aproach in the solution of the Single Source Capacitated Facility Location problem (SSCFLP) using a Branch-and-Cut algorithm. Computational experience is reported on a large set of test instances available in literature.

关键词： facility location state of the art Dantzig-Wolfe decomposition mixed integer linear programming polyhedrons Literature

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Cache Partitioning and Scheduling for Energy Optimization of Real-Time MPSoCs

Cache Partitioning and Scheduling for Energy Optimization of...

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IEEE International Conference on Application-specific Systems, Architectures and Processors

作者： Gang Chen Kai Huang Jia Huang Alois Knoll TU Munich Germany fortiss GmbH Germany

ISBN: (纸本)9781479904945

Cache partitioning is a promising technique to reduce energy consumption of the cache subsystem for MPSoCs. Currently, most existing techniques focus primarily on static partition on core level. In this paper, we present a task-level approach and show that it outperforms core-level strategies. By taking the interference patterns of individual tasks into account, our approach generates optimal task-level cache partition schemes as well as feasible schedules at compilation time by means of a mixed integer linear programming formulation. We also present techniques to prune the exploration space of our formulation. Experimental results using real-world benchmarks demonstrate that our approach achieves 33% energy savings on average compared to core-based cache partition approaches.

关键词： MPSoCs Energy Optimization Scheduling Cache memory mixed integer linear programming multiprocessor system on chip partitions compile time core levels interference pattern Space Exploration energy saving

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Risk-constrained scheduling and offering strategies of a price-maker hydro producer under uncertainty

Risk-constrained scheduling and offering strategies of a pri...

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IEEE General Meeting Power& Energy Society

作者： Hugo M. I. Pousinho Javier Contreras Anastasios G. Bakirtzis João P. S. Catalão Dept. Electromechanical Engineering Univ. Beira Interior E.T.S. de Ingenieros Industriales University of Castilla-La Mancha Aristotle University of Thessaloniki

Summary form only given. This paper presents a stochastic mixed-integer linear programming (SMILP) approach to maximize total expected profit of one price-maker hydro producer in a pool-based electricity market. Head dependence, commitment decisions, discharge ramping, startup costs and forbidden zones are all effectively handled in our approach. Uncertainty about the competitors' offers is adequately represented by residual demand curves (RDCs) scenarios. The management of risk is suitably addressed by conditional value-at-risk (CVaR) to provide the efficient frontier, i.e, the solutions set for which the expected profit may not be augmented without enlarging the variance of profit. Appropriate offering strategies to the pool are also developed, consisting of supply functions built for different risk levels. A representative cascaded hydro system with 7 reservoirs is considered to analyze and compare risk-neutral vs. risk-averse results.

关键词： Uncertainty Educational institutions Job shop scheduling mixed integer linear programming Electricity supply industry Discharges (electric) Reservoirs

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Lower bounds and an enhanced greedy heuristic for the single processor scheduling with release dates

Lower bounds and an enhanced greedy heuristic for the single...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Hejer Zribi Racem Mellouli Imed Kacem ISIMS University of Sfax ESCS University of Sfax Sfax Tunisie LITA University Metz Ile de Saulcy Metz France

In this study, we consider the single machine scheduling problem with release dates to minimize total weighted completion time. This problem is known to be strongly NP-hard. First, we present five different formulations based on mixed integer linear programming different definitions of decision variables. Second, new recursive weights decomposition-based lower bounds are proposed, then we generalize an improved split-based lower bound from literature. A constructive greedy heuristic is proposed based on evaluation function with partially lower bound assessment. A first improvement procedure using Hill Climbing search is presented. Experimental study shows promising results.

关键词： Optimal scheduling Schedules Educational institutions Electronic mail mixed integer linear programming linear programming Optical wavelength conversion

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Towards Distributed Online Cooperative Traffic Signal Control using the Cell Transmission Model

Towards Distributed Online Cooperative Traffic Signal Contro...

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International IEEE Conference on Intelligent Transportation Systems

作者： Stelios Timotheou Christos G. Panayiotou Marios M. Polycarpou Department of Electrical and Computer Engineering University of Cyprus

ISBN: (纸本)9781479929153

Traffic signal control is a key ingredient in intelligent transportation systems (ITS) to increase the capacity of existing urban transportation infrastructure. However, to achieve optimal system-wide operation it is essential to coordinate traffic signals at various intersections. In this paper we model the multiple-intersections traffic signal control problem using the cell transmission model. For its solution, we propose two online distributed strategies, which are based on spatially and temporally decomposing the problem into subproblems associated with different intersections and iteratively solving them by exchanging information between neighboring intersections. Simulation results for a four intersection topology indicate that the proposed strategies achieve distributed, online and close to optimal signal timing plans.

关键词： Intelligent transportation systems (ITS) Traffic signal control Cell-transmission model Online Distributed mixed-integer linear programming Distribute Area traffic signal control Progressive traffic signal control Automatic traffic signal control Traffic signals Intersection mixed integer linear programming Intelligent transportation systems Signal timing

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linearization method for the nonlinear factors of cascaded hydropower system

Linearization method for the nonlinear factors of cascaded h...

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Chinese Control Conference (CCC)

作者： Jiangtao Jia Zhi Feng The Electronic and Information Engineering College Xi'an Polytechnic University 710048 China

With the developments in linear programming code, a mixed integer linear programming (MILP)-based approaches have started to attract more attention in the word, some new linearization methods have been proposed. In this paper, MILP formulation of short-term scheduling for cascaded plants with pumped-storage units is established, for the nonlinear factors such as nonlinear hydroelectric production function, the characteristics of pumped-storage units, minimum/maximum down/up time of hydro units, etc. A new practical and systematic linearization approach is proposed. Some integer variables are introduced such that the problem is formulated as MILP. Numerical testing results show that the MILP formulation given in this paper is efficient and effective.

关键词： Power systems Electronic mail Educational institutions mixed integer linear programming Production Hydroelectric power generation Abstracts

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