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Take the general kind of mold's processing for example, the paper analyzes the mold machining process and workpiece characteristics. Base on the mathematical model of job shop scheduling system, the paper establishs the production unit allocation method, utilizes the robustness of Genetic Algorithm, proposes the idea of job-shop scheduling algorithm. Especially, the paper gives the detail design and...
To present a precise and efficient algorithm to solve planar straightness error problems, two theorems are developed in this paper as the basis of the following algorithm. Theorems 1 and 2 provide the slope condition of convex edges in a polygon produced by the measured points, which is a quite easy and feasible way to satisfy the minimum zone criteria. The accuracy of the proposed algorithm is validated...
Proper fixture design is crucial to obtain the product quality according to the design specification during the workpiece fabrication. Locator layout planning may be thought of as the first and most important task in the fixture design process. Therefore, a new approach to locator layout determination for work pieces with arbitrary complex surfaces is proposed for the first time. First, the proper...
With the rapid application growing of internet and wireless network, information security becomes significant to protect commerce secret and personal privacy. Encryption algorithm plays a crucial role for information security guarantee. In this paper, we evaluate the performance of two symmetric key encryption algorithms: CAST and RC5 commonly used for network data encryption. We analyzed the encryption...
Through research on K-means algorithm of text clustering and semantic-based vector space model, a semantic-based K-means text clustering model is proposed to solve the problem on high-dimensional and sparse characteristics of text data set. The model reduces the semantic loss of the text data and improves the quality of text clustering. Experiments prove that semantic-based text clustering increases...
A decoupling dual internal model controller matrix design method is proposed for multi-variable time-delay input-output system in industrial processes, System responses can be almost decoupled. By using NLJ algorithm to simplify the order of analytical model or similar treatment, the calculated amount for deduce the matrix of decoupler is reduced. The method which uses dual-internal mode structure...
This paper presents a hybrid algorithm, based on ant colony algorithm, developed to address the dual-resource constrained job shop scheduling problem with heterogeneous workers. The algorithm establishes a dynamic candidate solution set, based on the technology constraint, for each ant to improve the calculating efficiency of the algorithm. Meanwhile, the algorithm utilizes the simulated annealing...
Flexible job shop scheduling problem (FJSP) is an important extension of the classical job shop scheduling problem, where the same operation could be processed on more than one machine. Owing to the high computational complexity, it is quite difficult to achieve an optimal solution with traditional optimization approaches. An improved genetic algorithm combined with tabu search is proposed to solve...
Objectives like long fatigue life and low heat generation need to be achieved collectively in design of high speed angular contact ball bearing. The traditional multiobjective optimum method needs explicit objective functions and weighting factors which are not easy to determine. These disadvantages can be overcome by a multiobjective evolution algorithm. The commonly used NSGA-II(non-dominated sorting...
Combining with the usual requirement and multi-constraint conditions of examination arrangement, the math model of examination arrangement is built, and a sub-rule algorithm for arrangement of examination seat based on the proportion of examinee is proposed. Then the detail step of the algorithm is given, and the complexity is analyzed. The Analysis and experiment result show the algorithm can control...
The model of vehicle routing problem with backhauls is built based on natural description, then an improved immune algorithm for the problem is applied in which a new coding method, the adaptive mechanism of the information entropy of antibody, and evaluate function are introduced. The computational result demonstrates that the high quality solutions to the vehicle routing problem with backhauls can...
From the view of granularity, this paper presents a genetic clustering algorithm based on dynamic granularity. In view of a parallel, random search, global optimization and diversity characteristics of genetic algorithm, it is combined with dynamic granularity model. In the process of granularity changing, appropriate granulation can be made by coarsening and refining the granularity, which can ensure...
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