In this study, an inexact multi-objective optimization model integrated with ecosystem service value was developed for supporting sustainable land-use management in Took Mu Qinqi in the northeast of Inner Mongolia Pro...
详细信息
In this study, an inexact multi-objective optimization model integrated with ecosystem service value was developed for supporting sustainable land-use management in Took Mu Qinqi in the northeast of Inner Mongolia Province, China. It was an attempt to incorporate ecosystem service evaluation model within a general modeling framework in typical semi-arid region. The ecosystem service value was modified according to the development of eco-environment and social economy in Took Mu Qinqi based on the study of land ecosystem service value in China. The modified ecosystem service value provided input parameters for the optimization model. The results showed that the ecosystem service value of grassland was the highest among the six land-use categories, with about 97% and 83% of the total value for East and West Took Mu Qinqi, respectively. It indicated that grassland played an important role in ecosystem service. The results also showed that the total economic benefit produced by the optimal land use pattern increased by [11.5, 12.6], [5.66, 6.36] x 10(12) RMB (sic) compared with the current land-use pattern for East, West Took Mu Qinqi, respectively. The total ecosystem service value produced by the optimal land-use pattern also increased by [5.9, 9.1], [3.4, 4.5] x 10(12) RMB (sic) compared with that produced by the current land-use pattern for East, West Took Mu Qinqi, respectively. It indicated that the optimal land use pattern generated by the multi-objective model was better than the current land-use pattern either from the point of economic benefit or from the point of ecological benefit. The optimization model of land-use structure based on ecosystem service value could satisfy the social, economical, and environmental development, which provided a new way to solve the key technical problem in land-use planning in typical semi-arid region. (C) 2018 Elsevier Ltd. All rights reserved.
Government guarantees are frequently used in public-private partnership (PPP) toll road projects to attract private sector partners. In this paper, we propose a multi-objective programming model for Pareto-optimal dec...
详细信息
Government guarantees are frequently used in public-private partnership (PPP) toll road projects to attract private sector partners. In this paper, we propose a multi-objective programming model for Pareto-optimal decision in which the toll, quantity demanded, private firm's profit and social welfare are investigated, and compare the effectiveness of exclusivity guarantees and minimum demand guarantees in PPP contracts. Under certain assumptions, we find that for any government guarantee, the Pareto-optimal toll lies in between the toll set by private firms and socially optimal toll;in addition, the Pareto-optimal toll is higher and monopoly power is stronger under minimum demand guarantee if the relative negotiating power of private firms is sufficiently high. Both the private firm's profit and social welfare depend on relative negotiating power, buyback price, marginal social cost and minimum quantity demanded. In particular, if the minimum quantity demanded and the buyback price are sufficiently high, the government will tend to provide exclusivity guarantee but not minimum demand guarantee. A policy implication of this result is that it is not always the best choice for the government to provide a minimum demand guarantee to private firms.
This paper proposes a multi-objective mixed integer linear programming model for the design of an integrated blood supply chain network for disaster relief. The developed model accounts for all the special aspects of ...
详细信息
This paper proposes a multi-objective mixed integer linear programming model for the design of an integrated blood supply chain network for disaster relief. The developed model accounts for all the special aspects of blood supply chains involving uncertain demand of blood products and their irregular supply, perishability of blood products and shortage avoidance. It also provides a trade-off analysis between the cost efficiency (via minimizing the total costs), responsiveness (through minimizing the maximum unsatisfied demand) and effectiveness of the designed network (by minimizing the time span between blood production in regional blood centers and consumption in demand zones so that their freshness is preserved). A hybrid framework based on the two-stage stochastic programming and possibilistic programming approaches is devised to deal with a mixture of random and epistemic uncertainties. Some numerical experiments are conducted to validate the proposed model and its solution approach. Also, a real case study is presented to demonstrate the practicality of the proposed model. Helpful managerial insights are also provided through conducting a number of sensitivity analyses.
In 1952, Markowitz published his famous paper on portfolio selection that transformed the field of finance. Although over 65 years have passed since then, the mean-variance model remains today the predominant model in...
详细信息
In 1952, Markowitz published his famous paper on portfolio selection that transformed the field of finance. Although over 65 years have passed since then, the mean-variance model remains today the predominant model in portfolio selection. Having endured many criticisms over this period, the one that has perhaps been the most persistent is the fact that mainstream mean-variance theory is unable to accommodate additional criteria beyond expected return and variance. With investment decision-making having become more complex, this is a real problem as many problems with additional criteria exist and are only increasing in number and importance. In this paper, we review the papers that have been published that apply methods and procedures in an exact (as opposed to evolutionary) sense to address problems in portfolio selection with criteria beyond mean and variance. We also analyse the methodologies that allow the solution of the problem in a multiple criteria context, thus extending the features of the mean-variance approach that have caused portfolio theory to have such impact.
With the emerging trend of green supply chain management, supplier selection and order allocation based on green criteria have become very important in this competitive world. During the selection process of the eligi...
详细信息
With the emerging trend of green supply chain management, supplier selection and order allocation based on green criteria have become very important in this competitive world. During the selection process of the eligible suppliers, qualitative as well as quantitative factors should be considered. In this paper, a novel mathematical model is developed to select a set of suppliers, and assign the order quantity. Due to the importance of environmental concerns, both qualitative and quantitative environmental criteria are taken into account in this research. The proposed model comprises two phases namely a two-stage QFD, and a stochastic multi-objective mathematical model. The stochastic (scenario) approach helps to manage the uncertainty in the order allocation process. Furthermore, trapezoidal fuzzy numbers are utilized to handle the vagueness in human thoughts. The application of the proposed model is shown in beverages industry. (C) 2017 Elsevier Ltd. All rights reserved.
This paper is concerned with portfolio selection problem using a fuzzy stochastic price scenario. In this scenario, a ratio factor (k) is calculated from the historical data to generated the future price of the stocks...
详细信息
This paper is concerned with portfolio selection problem using a fuzzy stochastic price scenario. In this scenario, a ratio factor (k) is calculated from the historical data to generated the future price of the stocks of Bombay Stock Exchange. The ratio factor k of different stocks are treated as a fuzzy numbers, which in turn gives future fuzzy prices of the stocks. Returns on the stocks are calculated from the future price of the stocks. Rejection of the assets are done based on returns calculated from the worst case scenario. If the returns of an asset exceed the investor's risk tolerance then the asset are not included in the portfolio. The definition of capital budget has been reformed to include the transaction cost with the capital budget. This process is implemented in two stage multi-objective fuzzy probabilistic programming problem which is then solved using a fuzzy genetic algorithm to obtain maximum short term and long term returns. A case study of Bombay Stock Exchange is provided to illustrate the above model. (C) 2017 Elsevier B.V. All rights reserved.
In this paper, a new exact method is proposed for solving the maximization problem, say, of an indefinite quadratic utility function over the efficient set of a multi-objective integer linear programming (MOILP) probl...
详细信息
In this paper, a new exact method is proposed for solving the maximization problem, say, of an indefinite quadratic utility function over the efficient set of a multi-objective integer linear programming (MOILP) problem. Indeed, we develop a branch and cut algorithm based on a continuous indefinite quadratic optimization, for reaching an integer optimal solution of problem without having to enumerate explicitly all integer efficient solutions of MOILP problem. The branch and bound process, strengthened by efficient cuts and tests, allows us to fathom considerably nodes in the tree. Thus, a large number of feasible and non-efficient solutions can be avoided. An experimental study is reported to validate the theoretical results.
The accidental and unpredictable nature of disasters such as earthquake brings about some plans to deal with critical problems in order to reduce the dangers at the time of their occurrence. Effective distribution of ...
详细信息
The accidental and unpredictable nature of disasters such as earthquake brings about some plans to deal with critical problems in order to reduce the dangers at the time of their occurrence. Effective distribution of relief goods and supplies plays an important role in the rescue operation after an earthquake. Therefore, a two-phase, multi-objective mixed integer, multi-period and multi-commodity mathematical modeling in the three-level relief chain was offered, in which, locating of the distribution centers and warehouses with various levels of capacity, related decisions to the stored goods in the warehouses and established distribution centers were considered in the first phase, and considering the limited hard time windows, in the second phase, operational programming was performed for vehicle routing and distribution of goods to the affected areas, so minimizing the total cost and travel time also increased the reliability of the route. In addition to the features considered in this model, in special cases, it is possible that each critical area receives service more than once;to consider split delivery assumption in the problem, a different model will be presented for this purpose. Since some parameters are uncertain during the crisis, in order to let the model approach the reality, using a robust optimization approach, the model was developed in an uncertain condition. Two meta-heuristic algorithms of NSGAII and MOPSO were used to solve the given problem, in which the accuracy of the mathematical model and the proposed algorithms efficiency were assessed through numerical examples. the results of algorithms were presented for 35 various problems.
In this article, a new exact method is proposed to solve a problem, say , of maximizing a linear fractional function over the integer efficient set of multi-objective integer linear programming problem (MOILP). The me...
详细信息
In this article, a new exact method is proposed to solve a problem, say , of maximizing a linear fractional function over the integer efficient set of multi-objective integer linear programming problem (MOILP). The method is developed through the branch and cut technique and the continuous linear fractional programming, to come up with an integer optimal solution for problem without having to explicitly list all efficient solutions of problem (MOILP). The branching process is strengthened by an efficient cut as well as an efficiency test so that a large number of non-efficient feasible solutions can be avoided. Illustrative example and an experimental study are reported to show the merit of this new approach.
Hazardous materials transportation is an important and hot issue of public safety. Based on the shortest path model, this paper presents a fuzzy multi-objective programming model that minimizes the transportation risk...
详细信息
Hazardous materials transportation is an important and hot issue of public safety. Based on the shortest path model, this paper presents a fuzzy multi-objective programming model that minimizes the transportation risk to life, travel time and fuel consumption. First, we present the risk model, travel time model and fuel consumption model. Furthermore, we formulate a chance-constrained programming model within the framework of credibility theory, in which the lengths of arcs in the transportation network are assumed to be fuzzy variables. A hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm is designed for finding a satisfactory solution. Finally, some numerical examples are given to demonstrate the efficiency of the proposed model and algorithm.
暂无评论