Applied Mechanics and Materials Vols. 635-637

Abstract: With the rapid development in civil aviation industry, the pilot is a lot of demand in short supply, which leads to high pressure on flight training. It is necessary to optimize the scheduling model for flight instructors and the urgency of the utilization of optimization techniques to realize flight instructor scheduling is increasingly significant. A fair and balanced scheduling model will take flight instructor’s willingness and flight duty time limitations into consideration. Therefore a multi-objective model of scheduling for flight training is provided,and the solution of the model is discussed.

Abstract: Ant colony algorithm is a stochastic search algorithm, evolutionary algorithm with other models, like the evolution of the composition of the population by the candidate solutions to find the optimal solution, this paper proposes a new ant colony algorithm to solve by bandwidth and QoS multicast routing problem delay constraints, k shortest path algorithm by means of genetic algorithm we propose obtained, and then use the ant colony algorithm to construct optimal multicast tree for data transmission.

Abstract: Based on the analysis of E-government decision support system's basic theory and mainstream solutions, combined with the popular OLAP technology, presents a white spoon OLAP based decision support system to improve e-government program, using data warehouse and model library together to support OLAP analysis, test cases and successfully used with the project, the results show that this scheme can achieve the desired requirements, with better performance and fast response performance multidimensional analysis, OLAP operations can be completed with reference promotional value.

Abstract: Arduino is a popular platform for interactive application. The posture recognition of human body is realized by the Microsoft’s Kinect sensor, and it translates the posture into data based on the protocol, and then transmits the data to the Arduino microcontroller through the serial port, and finally, the microcontroller controls the LED status according to data. Experiments show that, this method has higher recognition rate and shorter response time. The method can meet the somatosensory controlling requirements of the LED lamps, spreads the commonly controlling method of LED lamp.

Abstract: This paper focus on the optimization method for chaotic ant swarm algorithm, we proposed the dimension reconstruction method for chaotic ant swarm algorithm. When using the chaotic ant swarm algorithm for multi-dimension function optimization, it’s easier to convergence to local minima than global minima, the dimension reconstruction method can deal with it. In this paper, a specific example is calculated with the optimization method and original method, the results show that the optimization method can control the overall search process to the optimal value, and the optimization method can search the precision value.

Abstract: As the manufacturing problem grows more complexity, particularly in the situations where the correlation and goal conflict among multiple responses need to be considered simultaneously, conventional optimization algorithms may fail to find the global optimum. In this case, an alternative approach is proposed that using grey relational analysis (GRA) in conjunction with principal component analysis (PCA) to obtain the grey relational grade (GRG), and using BP neural network to construct a process model. Then, the optimal parameters setting can be obtained by using a hybrid approach combined the global search advantage of genetic algorithm (GA) and the local search advantage of pattern search (PS). Finally, an example from the literature is illustrated to confirm the feasibility and effectiveness of the proposed approach.

Abstract: The discrete nature of ant colony algorithm (ACO) and the characteristics of the distributed parallel computation and positive feedback had been made it widely used in discrete space problems, but it limited its application in continuous problems and now studies was relatively few. Articles improved the basic ACO to solve problems in continuous domain. The algorithm improved the way of pheromone to keep, update and advance, and limited it in a Max-Min interval at the same time, avoiding the stagnation and restricted diffusion of the algorithm, enhanced the performance of convergence. Simulation example proves that the improved ACO can quickly find good global solution on the continuum.

Abstract: An improved genetic algorithm for the function optimization of multi-core embedded system is proposed. A number of chromosomes that distribute uniformly in space are generated by the algorithm randomly. Each chromosome is randomly coded and a new one will be generated by mutual calculation. After continuous elimination and circulation, the optimized chromosomes can be selected. The improved algorithm makes the mutation offspring have the opportunity to be the next parent with the increase of mutation. It enhances the parent diversity, increases the crossover rate, activates crossover between the parents and has chance to access to the best solution. The efficiency and cost reduction performance are improved. The different tasks will be distributed in parallel to available processors so as to meet the real-time requirements.

Abstract: According to the characteristics of infantry division joint firepower strike target value, the topsis method is adopted to analyze the target value and establish the target value analysis index system of joint fire strike. It provided a new approach to evaluate target value of joint fire strike infantry division.

Abstract: Leagile supply chain integrates lean supply chain and agile supply chain. In this paper, the theory of lean production and agile manufacturing are compared and analyzed, and then the leagile supply chain model and the performance evaluation system based on DEA are established. Based on the above, this paper provides an example of the evaluation system to verify the operability and effectiveness, which can provide the reference for enterprises to improve operating mode of the supply chain or develop a new leagile supply chain.