A rolling-horizon approach was proposed, which aims at the problem of berth allocation and quay crane assignment. Then a dynamic allocation model using objective programming was initially developed for berths allocati...
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ISBN:
(纸本)9780769538167
A rolling-horizon approach was proposed, which aims at the problem of berth allocation and quay crane assignment. Then a dynamic allocation model using objective programming was initially developed for berths allocation and quay crane assignment, which more closes realistic as result of basing continuum quayside. The model objective function was subject to the minimization of the total berthing location deviation, the total penalty and the energy consumption of quay cranes. Then, a hybrid parallel genetic algorithm (HPGA) was employed for solving the model, which combines parallel genetic algorithm (PGA) and heuristic Algorithm. Furthermore, a simulation model integrating HPGA was developed for evaluating this HPGA and executing gene repair techniques to repair the unfeasible individuals generated by HPGA. Finally, case study on a specific container terminal was used for system illustration, and then verified the validity and usefulness of this model and algorithm.
A rolling-horizon approach was proposed, which aims at the problem of sidings allocation for automated container yard stacking system designed and invented by ZPMC. The dynamic allocation model using objective program...
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ISBN:
(纸本)9783037853702
A rolling-horizon approach was proposed, which aims at the problem of sidings allocation for automated container yard stacking system designed and invented by ZPMC. The dynamic allocation model using objective programming was initially developed for sidings allocation. The model objective function was subject to the minimization of the total job waiting time. Furthermore A* search algorithm was employed for solving the model, which can return optimal solutions. Finally an actual case was firstly studied to illustrate the proposed approach for sidings allocation strategy, and then verified the validity and usefulness of this model and algorithm.
Train schedule is the base of train organization as well as the fundamental working plan of transportation department. The running scheme of passenger train whose essence is to determine the initial schedule decides t...
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ISBN:
(纸本)9780769538044
Train schedule is the base of train organization as well as the fundamental working plan of transportation department. The running scheme of passenger train whose essence is to determine the initial schedule decides the skeleton of making the passenger train schedule. Present literatures researching train scheme considers the convenience for passenger travel or arrival and departure track dependently. On the basis of analyzing some constraint conditions such as the convenient to the passengers and the coordinate utilization of arrival and departure tracks and parking lines for rolling stock, taking the minimum of passenger carriage as the objective function, this paper establishes an objective programming model for optimizing the initial schedule of passenger trains, and puts forward a method for the model which is basing on improved Genetic Algorithm. The original time and the end time of passenger trains that satisfy the convenience to the passengers, economical carriage and the coordination between the utilization of arrival and departure tracks and parking tines for rolling stock can be obtained expediently by using this model.
In order to translate the Customer Needs (CN) for the specific product into the right Technical Requirements (TR), the structure of conventional House of Quality (HOQ) is modified to have HOQ fit in with the needs of ...
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ISBN:
(纸本)087849278X
In order to translate the Customer Needs (CN) for the specific product into the right Technical Requirements (TR), the structure of conventional House of Quality (HOQ) is modified to have HOQ fit in with the needs of multi-attribute decision-making. Then, an objective programming Model (OPM) based on HOQ is constructed, which fully considers the design team's experience, and the interdependence between CN and TR, and the inner-dependences within themselves, along with resource limitations, and multi-objective nature of the problem. The target values of TR are obtained by solving the OPM using MATLAB, which can fully meet the CN. Finally an example is given, and the OPM is proved to be reasonable and effective.
This paper studies weight adjustment in multiple attributes group decision making model. Firstly, the attribute weights respectively calculated by methods of AHP and entropy are optimized based on objective programmin...
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ISBN:
(纸本)9780769550794
This paper studies weight adjustment in multiple attributes group decision making model. Firstly, the attribute weights respectively calculated by methods of AHP and entropy are optimized based on objective programming model. Secondly, the initial weights of decision-makers are updated by the grey correlation degree between the individual decision results and the group decision results. Furtherly, the group decision results are updated. Then the weight- adjusting is continued on the basis of the new group decision results. Based on 2-Norm Minkowski measure, the steady weights of decision-makers and final results of the group are gotten with the process of adjustment. Finally, a numerical example to evaluate wind power equipment supplier shows the feasibility and practicability of the proposed algorithm.
Genetic algorithms, owning to their characteristics of intrinsic parallel mechanism and full optimization, can be used to search for solutions for objective programming. In this study, empirical study method was combi...
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ISBN:
(纸本)9780769536767
Genetic algorithms, owning to their characteristics of intrinsic parallel mechanism and full optimization, can be used to search for solutions for objective programming. In this study, empirical study method was combined with the multi-objective optimization to develop a multi-objective forest harvest adjustment model by introducing Pareto multi-objective genetic algorithm into optimization model. This methodology was applied to Fengshu Moutain tree farm, Jiangxi province and the obtained results showed that integrating of the genetic algorithm with the multi-objective programming of the forest harvest adjustment led to non-inferior solution set which provided much greater choice space for decision-making. Moreover, this method overcame the shortcomings that exist in the original harvest adjustment procedure in which different objective weight values are needed. In addition, the genetic algorithm successfully achieved the adjustment of Masson Pine age-class area and balancing rate as well as increased volume and volume yield per unit area.
A bay allocation model is developed for outbound containers at container terminal based on objective programming, which aims at the problem of stack bay allocation for outbound containers. The model's objective fu...
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ISBN:
(纸本)9780769534886
A bay allocation model is developed for outbound containers at container terminal based on objective programming, which aims at the problem of stack bay allocation for outbound containers. The model's objective function is subject to the minimization of the moving distance of the yard crane when bringing outbound containers into yard and loading ships. To resolve the model, a hybrid algorithm which employs heuristic rule and distributed genetic algorithm, is then employed. Finally, a case simulation study has been used for system illustration, and then verifies the validity and usefulness of the model and the algorithm.
The green supply chain is subject to the attention of environmental management and supply chain management. It is contained all levels of "green" requirements from suppliers to consumers and it is a complex ...
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ISBN:
(纸本)9783037858431
The green supply chain is subject to the attention of environmental management and supply chain management. It is contained all levels of "green" requirements from suppliers to consumers and it is a complex system. The green supply chain network formation is important to its objective. In this paper, the green supply chain network containing four levels including suppliers, manufacturers, consumers and recyclable waste collectors is designed. A multi-objective optimization model that captures the trade-off among the revenues, costs and environment influence is proposed. Then it is give an example of numerical analysis and get agent's decision.
This paper studies the short-term electric power load ***,we use the product of polynomial functions and Fourier series as a function of load *** that the goal programming model of parameter estimation is established,...
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This paper studies the short-term electric power load ***,we use the product of polynomial functions and Fourier series as a function of load *** that the goal programming model of parameter estimation is established,and it is solved by the pattern search *** the model is tested through the actual load data in a region from May 27th,2008 to June 2nd,*** relative error of prediction is 2.44%.
This paper studies the short-term electric power load forecasting. First, we use the product of polynomial functions and Fourier series as a function of load trends. After that the goal programming model of parameter ...
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This paper studies the short-term electric power load forecasting. First, we use the product of polynomial functions and Fourier series as a function of load trends. After that the goal programming model of parameter estimation is established, and it is solved by the pattern search method. Finally the model is tested through the actual load data in a region from May 27th, 2008 to June 2nd, 2008. The relative error of prediction is 2.44%.
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