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Complex structural parts are pervasive and playing an important role in the aircraft manufacturing area. In order to improve the machining efficiency, the cutting parameter optimization of complex structural parts during the machining has always been a problem in manufacturing industry. At present, the cutting parameters are usually optimized based on the final state of complex structural parts and...
Bridge safety evaluation is very important to ensure the safe work of bridge. In the study, RBF neural network with genetic algorithm is presented to evaluate bridge safety, genetic algorithm is adopted to select the parameters of RBF neural network to improve the performance of RBF neural network. The influencing factors and evaluation index of bridge safety evaluation are determined. Then, the experimental...
A major problem with text classification problems is the high dimensionality of the feature space. This paper investigates how genetic algorithm and k-means algorithm can help select relevant features in text classification. which uses the genetic algorithm (GA) optimization features to implement global searching, and uses k-means algorithm to selection operation to control the scope of the search,...
In view of the high-dimensional feature in text categorization influence the accuracy and efficiency of classification. The paper presents a dynamic feature selection method based on combination of k-means algorithm with genetic algorithm, called K-GA,which uses the genetic algorithm(GA)optimization features to implement global searching,and uses k-means algorithm to selection operation to control...
Two problems will be met with while directly using simple genetic algorithm to solve image interpolation: one is how many bits are needed for difference-chromosome coding. Setting it too large will increase implementation spending while making it too small will evolve into local minimum. The other is premature, if some individuals are most dominant in current population, they will emphasize their...
Conventional shunt hybrid active power filter must endure fundamental voltage of power system. To overcome the disadvantage, a new kind shunt hybrid active power filter is researched which is suitable to high power system by installing the active power filter in parallel of fundamental series resonance branch. Based on the summing-up of its electric model, issues in their realization such as sharp...
A new idea based on genetic algorithm with transfer-operator for straightness error of shaft parts which meets the minimum zone method of the new ideas was proposed, and traditional genetic algorithm was made some suggestions for improvement. The global Optimization can theoretically be acquired. The simulation results show that the method is valid at variable global scope, and can correctly evaluate...
Considering alternative resources for operations, requirement of multiple resources to process an operation and a jobpsilas batch size greater than one in the real manufacturing environment, a study is made on the batch splitting scheduling problem with bounded batch sizes under multiple-resource constraints, based on the objective to minimize the maximum completion time. A genetic algorithm which...
High-dimensional feature space affects the quality and efficiency of text categorization. This paper investigates an improved genetic algorithm that how to help select relevant features in text classification. We follow the so-called "region growing" method to initialize the population, and uses k-means algorithm to selection operation to control the scope of the search, ensure the validity...
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