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INGENIERIA HIDRAULICA EN MEXICO 2009年第4期24卷 65-86页

作者： Diaz-Maldonado, Salvador Collado, Jaime Inst Tecnol Sonora Ciencias Agua & Medio Ambiente Obregon 85000 Sonora Mexico Gobernanza Agua Com Nacl Mexicano Comis Int Irrig Cuernavaca 62290 Morelos Mexico

Currently, hydraulic availability in some basins has already been paralleled or exceeded by agricultural use and other emergent uses, such as: industrial, urban, recreational, aquacultural, or hydropower generation use, among others. Hence, the opportunity to apply multi-objective programming tools comes up. These tools allow for the partial trade-off among different uses, offering another alternative to support the decision-making processes in the planning of water resources management. This paper presents the development and application of a novel technique for multi-objective programming applied to the Yaqui River reservoir System in Sonora. In this case, irrigation and hydropower generation were considered as the conflicting objectives. The Fuzzy Sets Method (proposed here), the Restricted Method (one of the most widely used), and the historic management, were compared, for a 33- to 39-year (1964-65 to 2003-04) planning horizon. The Fuzzy Sets results as compared to the Restrictive procedure, both for 33 years, showed that the first one solved the model in significantly fewer steps than the second one. Also, with the application of the model, it was found that the annual hydraulic availability average for irrigation use would decrease by 7.73% (from 2 560 hm(3) to 2 362 hm(3)), while total electric hydropower generation would be reduced by 11.27% (from 17 981395 MWh to 15 954 473 MWh). However, some studies showing an over-exploitation of surface water for irrigation in this period report a hydraulic availability of about 2 300 hm(3). On the other hand, although the total historical hydro-generation at El Novillo dam has been greater than that obtained from the model, only 46.58% was produced in coincidence with the interannual monthly behavior of the regional demand, while, with the model, a 92.56% of the electricity was produced in agreement with the power demand requirements. Therefore, knowing that previous studies have found that the availability for agricu

关键词： multi-objective planning multi-objective programming conflicting objectives irrigation hydropower generation trade-off among objectives

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Study on Passenger Train Stopping Scheme Based on Improved Particle Swarm Optimization Algorithm

Study on Passenger Train Stopping Scheme Based on Improved P...

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2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2009)

作者： Shuang Wang,Peng Zhao,Ke Qiao School of Traffic and Transportation Beijing Jiaotong University Beijing,P.R.China

This paper develops a multi-objective optimization model for the passenger train stopping scheme on high-speed railway *** the stopping times for all passenger trains,minimizing travel distance of empty trains and minimizing the number of transfer passengers are the three planning objectives of the *** a given travel demand and specified capacity of stops,the model is solved by heuristic *** improved discrete Particle Swarm Optimization(PSO) algorithm is presented to determine the best-compromise train stopping scheme with high effectiveness and *** the algorithm,a stop based representation is designed,and a new method is used to update the position and velocity of *** order to keep the particle swarm algorithm from premature stagnation,the simulated annealing algorithm,which has local search ability,is combined with the PSO algorithm to make elaborate search near the optimal solution,then the quality of solutions is improved *** empirical study on a given small railway network is conducted to demonstrate the effectiveness of the model and the performance of the *** experimental results show that the hybrid algorithm has great advantages in both success rate and convergence speed compared with other discrete PSO algorithm and genetic algorithm,and an optimal set of stopping schemes can always be generated for a given *** achieve the best planning outcome,the stopping schemes should be flexibly planned,and not constrained by specific ones as often set by the planner.

关键词： high-speed railway lines passenger train stopping scheme multi-objective programming particle swarm optimization algorithm simulated annealing algorithm

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Optimality for (h,φ)-multiobjective programming involving generalized type-I functions

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JOURNAL OF GLOBAL OPTIMIZATION 2008年第1期41卷 147-161页

作者： Yu, Guolin Liu, Sanyang N Natl Univ Res Inst Informat & Syst Computat Sci Yinchuan 750021 Peoples R China Xidian Univ Dept Appl Math Xian Peoples R China

Based upon Ben-Tal's generalized algebraic operations, new classes of functions, namely (h,phi)-type-I, quasi (h,phi)-type-I, and pseudo (h,phi)-type-I, are defined for a multi-objective programming problem. Sufficient optimality conditions are obtained for a feasible solution to be a Pareto efficient solution for this problem. Some duality results are established by utilizing the above defined classes of functions, considering the concept of a Pareto efficient solution.

关键词： multi-objective programming Pareto efficient solution (h,phi)-type-I functions Duality

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Goal programming in the context of the assignment problem and a computationally effective solution method

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APPLIED MATHEMATICS AND COMPUTATION 2008年第1期200卷 34-40页

作者： Jahanshahloo, G. R. Afzalinejad, M. Univ Tafresh Fac Math Tafresh *** Iran Teacher Training Univ Fac Math Sci & Comp Engn Tehran *** Iran

This paper develops the goal programming technique to solve the multiple objective assignment problem. The required model is formulated and an appropriate solution method is presented. The proposed method, which is a decomposition method, exploits the total unimodularity feature of the assignment problem and effectively reduces the computational efforts. Some issues related to the efficiency of a GP solution are stated and some specialized techniques for detecting and restoring efficiency are proposed. (C) 2007 Elsevier Inc. All rights reserved.

关键词： goal programming assignment problem multi-objective programming Pareto efficiency Dantzig-Wolfe reformulation

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A mathematical programming framework for energy planning in services' sector buildings under uncertainty in load demand: The case of a hospital in Athens

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ENERGY POLICY 2008年第7期36卷 2415-2429页

作者： Mavrotas, George Diakoulaki, Danae Florios, Kostas Georgiou, Paraskevas Natl Tech Univ Athens Sch Chem Engn Lab Ind & Energy Econ Athens 15780 Greece

The aim of this paper is to provide an integrated modeling and optimization framework for energy planning in large consumers of the services' sector based on mathematical programming. The power demand is vaguely known and the underlying uncertainty is modeled using elements from fuzzy set theory. The defined fuzzy programming model is subsequently transformed to an equivalent multi-objective problem, where the minimization of cost and the maximization of demand satisfaction are the objective functions. The Pareto optimal solutions of this problem are obtained using a novel version of the e-constraint method and represent the possibly optimal solutions of the original problem under uncertainty. In the present case, in order to select the most preferred Pareto optimal solution, the minimax regret criterion is properly used to indicate the preferred configuration of the system (i.e. the size of the installed units) given the load uncertainty. Furthermore, the paper proposes a model reduction technique that can be used in similar cases and further examines its effect in the final results. The above methodology is applied to the energy rehabilitation of a hospital in the Athens area. The technologies under consideration include a combined heat and power unit for providing power and heat, an absorption unit and/or a compression unit for providing cooling load. The obtained results demonstrate that, increasing the degree of demand satisfaction, the total annual cost increases almost linearly. Although data compression allows obtaining realistic results, the size of the proposed units might be slightly changed. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： multi-objective programming energy planning minimax regret

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Post-pruning in regression tree induction: An integrated approach

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EXPERT SYSTEMS WITH APPLICATIONS 2008年第2期34卷 1481-1490页

作者： Osei-Bryson, Kweku-Muata Virginia Commonwealth Univ Res Inst Dept Informat Syst Richmond VA 23284 USA

The regression tree (RT) induction process has two major phases: the growth phase and the pruning phase. The pruning phase aims to generalize the RT that was generated in the growth phase by generating a subtree that avoids over-fitting to the training data. Most post-pruning methods essentially address post-pruning as if it were a single objective problem (i.e., maximize validation accuracy), and address the issue of simplicity (in terms of the number of leaves) only in the case of a tie. However, it is well known that apart from accuracy there are other performance measures (e.g., stability, simplicity) that are important for evaluating DT quality. In this paper we present an integrated approach to post-pruning phase that simultaneously accommodates multiple performance measures that are important for evaluating RT quality, and obtains the optimal subtree based on user provided preference and value function information. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： regression tree decision tree post-pruning data mining performance measures multi-objective programming mixed integer programming analytic hierarchy process

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Designing and evaluating sustainable logistics networks

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INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2008年第2期111卷 195-208页

作者： Frota Neto, J. Quariguasi Bloemhof-Ruwaard, J. M. van Nunen, J. A. E. E. van Heck, E. Erasmus Univ RSM NL-3000 DR Rotterdam Netherlands

Consumers and legislation have pushed companies to re-design their logistic networks in order to mitigate negative environmental impacts. The objective in the design of logistic networks has changed, therefore, from cost minimization only, to cost and environmental impact minimization. The objective of this paper is to develop a framework for the design and evaluation of sustainable logistic networks, in which profitability and environmental impacts are balanced. In this paper, we review the main activities affecting environmental performance and cost efficiency in logistic networks, we show the advantages of using multi-objective programming (MOP) to design sustainable networks, we present the expected computational difficulties of using the MOP approach in the design of sustainable networks, and we introduce a technique, based on the commonalities between data envelopment analysis (DEA) and MOP, to evaluate the efficiency of existing logistic networks. The European pulp and paper industry will be used to illustrate our findings. (c) 2007 Elsevier B.V. All rights reserved.

关键词： supply chain design sustainable supply chain eco-efficiency multi-objective programming data envelopment analysis

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multi-objective vehicle routing problems

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2008年第2期189卷 293-309页

作者： Jozefowiez, Nicolas Semet, Frederic Talbi, El-Ghazali Univ Valenciennes & Hainaut Cambresis Lab Automat Mecan & Informat Ind & Humaines Valenciennes France Univ Sci & Technol Lille Lab Informat Fondamentale Lille Villeneuve Dascq France

Routing problems, such as the traveling salesman problem and the vehicle routing problem, are widely studied both because of their classic academic appeal and their numerous real-life applications. Similarly, the field of multi-objective optimization is attracting more and more attention, notably because it offers new opportunities for defining problems. This article surveys the existing research related to multi-objective optimization in routing problems. It examines routing problems in terms of their definitions, their objectives, and the multi-objective algorithms proposed for solving them. (C) 2007 Elsevier B.V. All rights reserved.

关键词： combinatorial optimization routing multi-objective programming

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Modelling the effects of machine breakdowns in the generalized cell formation problem

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2008年第7-8期39卷 838-850页

作者： Ameli, Mohammad Saeed Jabal Arkat, Jamal Barzinpour, Farnaz Univ Kurdistan Sanandaj Kurdistan Iran Iran Univ Sci & Technol Tehran *** Iran

Machines are key elements in manufacturing systems and their breakdowns can dramatically affect system performance measures. This paper proposes a new multi-objective pure integer linear programming approach for the cell formation problem with alternative process routings and machine reliability consideration. The model minimizes total cost and maximizes system reliability simultaneously. Traditional reliability evaluation approaches attempt to model the reliability of the manufacturing system as a function of its elements. These approaches have some negative aspects;therefore, instead of modeling the system reliability as an explicit objective function, we use an approach to model the effects of the machine unreliability in terms of cost and time-based effects. Using the epsilon-constraint method as an optimization tool for multi-objective programming, a numerical example is solved to demonstrate the capability of the proposed model in evaluating various effects of the reliability consideration.

关键词： Alternative process routings Cell formation epsilon-constraint method multi-objective programming Production sequence Reliability

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Resource allocation based on the DEA model

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JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY 2008年第8期59卷 1136-1141页

作者： Fang, Lei Zhang, C-Q Nankai Univ Int Business Sch Tianjin 300071 Peoples R China Nanjing Univ Nanjing Peoples R China

The purpose of this paper is to develop an approach to a resource-allocation problem that typically appears in organizations with a centralized decision-making environment, for example, police stations, banks, and universities. The central unit is assumed to be interested in maximizing both the total efficiency and the efficiency of the individual unit by allocating available resources to them. Building upon this, we present a data envelopment analysis-based model for allocating input resources to DMUs (the decision-making units) under the framework of multiple objective programming. Numerical examples are used to illustrate the approach.

关键词： data envelopment analysis efficiency resource allocation multi-objective programming

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