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Due to the poor correlation of index selection and poor evaluation effect in existing methods, a comprehensive evaluation method for urban rail Transportation planning network based on AHP-FUZZY is proposed. Firstly, set the basic principles for constructing an indicator system and construct an evaluation indicator system, Secondly, the network benefit curve and construction cost curve are introduced to screen key indicators, construct a criticality matrix for comprehensive evaluation indicators, and determine the importance of screening indicators through weighted calculation. Finally, the AHP algorithm is used to build a multi-level evaluation structure model, and combined with the FUZZY algorithm to quantitatively evaluate the indicators, a fuzzy membership matrix is constructed to obtain the pros and cons of different indicators, improve the accuracy of the evaluation results, thus realizing the comprehensive evaluation of urban rail Transportation planning network. The results indicate that the proposed method has good performance evaluation. [ABSTRACT FROM AUTHOR]

A method is proposed to determine the carrier-envelope phase (CEP) of a relativistic few-cycle laser pulse via the frequency of the Thomson backscattering (TBS) light. We theoretically investigate the generation of a flying mirror when a few-cycle drive pulse with relativistic intensity interacts with a target combined with a thin and a thick foil. The frequency of the TBS light generated from the flying mirror shows a sensitive dependence on the CEP of the drive pulse. The obtained results are verified by one-dimensional particle-in-cell simulations and are explained by an analytical model. [ABSTRACT FROM AUTHOR]

This paper stablishes the model of the integrated batch planning process, and proposes an improved algorithm for this problem. The simulation results of a computerized scheduling system are given to prove the fitness of the model. The steel making casting production process scheduling problem is very difficult to get a good performance solution in practice. The scheduling of steelmaking casting production is a complicated problem of combinational optimization in the hybrid flow shop, which is an NP-Hard problem, and determining the polynomial time algorithm to arrive at the accurate optimal solution has proved to be a difficult task. An improved fuzzy genetic optimization and improved algorithm strategy are proposed. The results show that the method is very efficient in solving the steel casting production scheduling problem. [ABSTRACT FROM AUTHOR]