With the continuous development of economy and changing of the environment, Green Production aiming at lowering the environment pollution and reducing resource consumption is paid more and more attention by all countries. How to improve the energy-efficient production for container terminal and obey the conception of Green Production is becoming the new oriental of research. Firstly, a hierarchy and evaluation factors of energy-efficient production for container terminal are developed. Furthermore, fuzzy AHP is then employed to determine the weight of all indices, evaluation vectors, evaluation matrix and evaluation value. Finally, computational cases are applied to verify the effectiveness and robustness of the proposed evaluation model.
Visual simulation's fidelity is used to verify the similar degree of simulation system that simulates real word. How to improve the similar degree of visual simulation is the key way to meet the simulation performance. Based on the F-AHP method, this work establishes the evaluation model of visual simulation fidelity of bridge-type grab ship-unloader, giving determining method of evaluation indicators, establishing membership function of each indicator and determining the weight. Finally, the case study is taken to illustrate how to evaluate a specific visual simulation with the method proposed in this work, and the evaluation result shown the fidelity of the virtual scene we gave is not so well.
The tug scheduling solution quality directly relates to the fluent degree, based on the analysis of dynamic scheduling business management, the basis of ship waiting time and tug minimum sum overflow horsepower as optimal objective function, establishing the tug dynamic scheduling optimization model. Through introducing the entropy function and the elite, improve the basic particle swarm algorithm, avoid algorithm process into local optimal solution and the port optimization model of the dynamic dispatching management process is also given in this paper. Finally, in a specific case tug scheduling, gives optimal scheduling schemes, and verifies the effectiveness of the algorithm and convergence.
A configuration model of handling equipments was developed for container terminal based on integer programming, which aims at the problem of configuration of handling equipments such as quay crane, yard crane and internal truck of container terminal. The model’s objective function was subject to the minimization of the total comprehensive cost. Furthermore, spreadsheet is employed to resolve this model to determine the best configuration of handling equipments. Finally, experiments considered some terminal with various throughputs were used for verifying this model. Therein, it was found from the computational results that the proposed approach could efficiently solve the configuration of handling equipments.
Abstract. An intelligent musical recommendation system for multi-users in network context is presented. The system is based on a comprehensive user profile described by feature-weight-like_degree-scene vectors. According different scenes, the system can filter the music that user may like in the internet, and form a music recommendation list which will be sent to the user. The Preference Learning Agent updates the users' profile dynamically based on explicit feedback or the hidden preference obtained from the users' behavior. The learning rate of like_degree, original like_degree and the weight of feature type are important for the improvement of the feature's learning efficiency. The recommendation system can capture the users' potential interest and the evolvement of preferences. Experiment results show that the algorithm can learn users' preferences effectively.
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