作者：
Ida, MKyoto Univ
Grad Sch Informat Dept Syst Sci Sakyo Ku Kyoto 6068501 Japan
In this paper, we consider possibilistic multiobjectivelinear optimal control problem. We introduce effective efficiency test and calculation method for possible and necessary efficiency degrees based on bisection me...
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ISBN:
(纸本)0780350537
In this paper, we consider possibilistic multiobjectivelinear optimal control problem. We introduce effective efficiency test and calculation method for possible and necessary efficiency degrees based on bisection method, and apply our method to possibilistic multiobjective optimal control problem, finally show a numerical example.
A frequent problem for decision makers (DMs) analysing decisions involving multiple objectives is the identification and selection of the most preferred option from the set of non-dominated solutions. Two techniques, ...
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In this paper we propose an evolutionary algorithm to estimate the minimum (nadir) objective values over the efficient set in multiple objective linearprogramming problems (MOLP). Nadir values provide valuable inform...
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ISBN:
(纸本)9783642010194
In this paper we propose an evolutionary algorithm to estimate the minimum (nadir) objective values over the efficient set in multiple objective linearprogramming problems (MOLP). Nadir values provide valuable information for characterizing the ranges of the objective function values over the efficient set. However, they are very hard to compute in the general case. The proposed algorithm uses a population of weight vectors with particular characteristics, which are then used as parameters in the optimization of weighted-sums of the objective functions. The population evolves through a process of selection, recombination and mutation. The algorithm has been tested on a number of random MOLP problems for which the nadir point is known. A result comparison with an exact method is shown and discussed.
In order to extend worldwide the processing business of the petrochemical plant, its potential business partners can themselves concurrently simulate production plans with high quality technical and economic features....
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ISBN:
(纸本)9789608457720
In order to extend worldwide the processing business of the petrochemical plant, its potential business partners can themselves concurrently simulate production plans with high quality technical and economic features. In the simulation process, a large number of divergent goals are under attention. Therefore, the plant computer will use the multi-objective linearprogramming as a tool for negotiations. The dialog between a partner and the plant computer consists in two steps, namely processing demand and plant response, performed repeatedly until the business makes sense or it shows unacceptable. In the first case, can be signed the processing contract.
Zimmermann (1978) proposed a fuzzy method for solving multiple objective decision problems whose main difficulty is in specifying the membership functions of the objectives. We have considered two different approaches...
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In this paper we consider multiobjective linear programming problem with interval objective functions. One solution for this problem is called a necessarily efficient solution that is efficient for every possible pert...
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ISBN:
(纸本)078034054X
In this paper we consider multiobjective linear programming problem with interval objective functions. One solution for this problem is called a necessarily efficient solution that is efficient for every possible perturbation of coefficients within given intervals, can be regarded as a kind of robust solution for optimal control problems. We improve the simplex based multiobjective problem solving method for generating a set of necessarily efficient solutions of multiobjectivelinear optimal control problems.
The Hunter Valley coal supply chain (HVCC) is the system of logistics facilities - principally a network of rail track and three coal handling terminals - enabling coal mined by producers in the Hunter Valley to be tr...
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ISBN:
(纸本)9780987214331
The Hunter Valley coal supply chain (HVCC) is the system of logistics facilities - principally a network of rail track and three coal handling terminals - enabling coal mined by producers in the Hunter Valley to be transported, assembled, and loaded onto ships for export. The HVCC serves around 11 producers operating through more than 30 coal load points in the Hunter Valley, transporting coal over rail track extending around 450 km inland, managed by two track owner/operators, via rolling stock from four rail haulage providers that make around 22,000 train trips for approximately 1,400 vessels per year. The HVCC now delivers around 140 million tonnes of coal per annum (Mtpa), with the port of Newcastle exporting more coal by volume than any other facility in the world. The Hunter Valley Coal Chain Coordinator P/L (HVCCC) is the organization at the heart of this logistics operation. In a landmark for collaborative logistics, the HVCCC was established by HVCC stakeholders to plan and manage the valuable shared infrastructure of the system. The HVCCC provides a range of services vital to the planning and delivery of coal through the logistics system, with its core task to improve the capacity of the coal chain through a centralised planning process. One of the key ways in which this task is achieved is through the alignment of maintenance activities. All key assets in the HVCC (e.g. rail track sections, coal stacking machinery, terminal conveyor systems) undergo regular preventive maintenance, planned well in advance. While undergoing maintenance, an asset cannot function to deliver coal (or can function only with reduced capacity), thus reducing the capacity of the system. However astute scheduling of these planned maintenance activities releases latent capacity. Such astute scheduling is referred to as capacity or maintenance alignment, and is a core function of the HVCCC. The maintenance alignment process at the HVCCC is supported by a model of the system capacity,
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