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With the help of fast and cheap information technology GPS navigators for car navigation are becoming very common. But unlike vehicle users, pedestrians form a more heterogeneous group having different levels of physical abilities with varieties of conditions, personal preferences and needs. The lack of data to support pedestrian navigation also imposes a harder challenge to design generalized navigation...
Recently, various types of robots have been researched and developed for supporting our life. Also, the perceptual system for the robot is researched. Visual perception includes a lot of valuable information and it is useful for all intelligent robot system. In this paper, we discuss intelligent robot vision in order to active sensing and information structuring for human-robot collaboration system...
The paper firstly analyzes the ware location assignment policy in Automated Storage and Retrieval Systems, and then optimizes the loading-unloading path. It mainly optimizes the shelves number and stacker operating order, and solves the problem of stacker operating order with the genetic algorithm. The research would optimize the loading-unloading path of the AS/RS greatly and improve the loading-unloading...
The simple genetic algorithm is introduced at first. On the basis of many strategies to selector operator, crossover operator and mutation operator, the advanced genetic algorithm sufficiently considers the global optimum by generating new individuals in each generation, which guarantees the population's multiplicity and accelerates the evolved speed. The optimal design of permanent magnet generator...
This paper introduce the technology of electromotor control and protective electrical appliance intelligent, using the artificial fish swarm algorithm (AFSA) which is based on genetic algorithm to optimize the calculate of the intelligent ac contactor. According to the result of optimization design, we have made a showpiece, after the test and experimentation of the prototype; finally we got results...
Gear reducer is one of the most widely used methods in mechanical transmission, optimization of which is of great significance in improving the bearing capacity, prolonging service life and reducing its size and quality. By Visual Basic programming mixed with MATLAB, automatic optimization design for gear reducer is realized in the paper, design efficiency and quality greatly improved. Genetic algorithm...
Traditional algorithms of VRP often did not consider the loading rate of vehicle, which will partially effects the fuel consumption of the vehicle. So if considering the fuel consumption, there needs a new algorithm to find the optional route of VRP with lowest fuel consumption. Then the genetic algorithm of the model was designed and solved. The simulation result showed that the algorithm is a good...
As an effective global search method, genetic algorithm has obvious advantages. But it usually has problems of premature convergence and local optimum in practical application. According to this, a new algorithm with improved selection, crossover and mutation is proposed. Through the simulation experiments, the improved algorithm shows its faster convergence and better stability. It is valid which...
Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
This paper uses a dynamic method to analyze the direct gasification and melting incineration process. By using fuzzy methods, it solves a temperature control model that consists of 4 inputs and 2 outputs. GA (Genetic Algorithm) is used to construct the learning algorithm, which is able to find the optimum rule base. The simulation and field application results show that the GA-based fuzzy model can...
It is very important to forecast the ice thickness of Transmission Line for the safe operation of transmission network. The author had introduced artificial neural network(ANN) to the prediction of the ice thickness of transmission line, and proposed a predictive model based on GA and BP addresses on the defects of BP network includes slow convergence and easiness of running to local minimum, and...
Adopt the concept of mutation in Genetic Algorithm to improve Particle Swarm Optimization. The experimental results show tow advantages for the mutation strategies. Firstly, It's workable for the algorithm and the performance was superior to fuzzy PSO and hybrid PSO; Secondly, the agitation strategy was more flexible.
The research on the application of the 3-phase high power PWM (Pulse Width Modulation) rectifier in the battery charge and discharge device has been a hotspot in the field of power electronics and control. As the traditional PID controller is difficult to achieve the optimum parameters, this paper proposes a new control method of PWM rectifier based on Genetic Algorithm (GA). The design of the PWM...
By analyzing the method of present generating test paper, the article represents a method of generating test paper based on genetic algorithm. A mathematical model for generating test paper is built. By putting forward the intercross operator and mutation operator in consistence with the independent coding, an automatic generation system for test paper is realized.
Customer assessment is very important for product innovation. In this study, the genetic algorithms and fuzzy comprehensive evaluation were used together to analyze the product assessment data. The evaluation made by undergraduates on Master Kong beef instant noodle was used as an example. The research shows that genetic algorithms-based fuzzy comprehensive evaluation is useful in the customer assessment...
A new optimized grey system model is presented to solve the modeling problems of 5-Axis CNC machine tool thermal error such as how to cope with the multiple influence factors, complicated develop trend. This model uses the Genetic Algorithm to optimized the new grey system model's dimensions of modeling message and the added coefficient of model's background value generating, and this method can improve...
It is an objective fact that large database has inconsistent data. This paper presents a new rule acquisition method based on rough set theory and genetic algorithm. Using rough set theory, we will divide inconsistent data table into two parts, certain data and possible data, and then standard genetic algorithm is used for mining rules set. When the algorithm is processing, the user is allowed to...
The rigidity of twist-drill are determined by its structure parameters. In this paper, the FEM model of the twist-drill is established by software ABAQUS. With the methods of Orthogonal test and FEM, a quantitative analysis to the torsional rigidity of twist-drill have been developed. The optimization of the twist-drill structure parameters are carried out with Genetic Algorithm based on the objective...
The design and development of hybrid intelligent systems such as financial investment planning are difficult because they have a large number of components that have many interactions. Existing software development techniques cannot manage those complex interactions efficiently as those interactions may occur at unpredictable times, for unpredictable reasons, between unpredictable components. In this...
Applications of neural network were widely used in construct project cost estimate. Aim at handling weakness of poor convergence and insufficient forecast, an improved fuzzy neural network method based on SOFM (self-organizing feature map) and GA (genetic algorithm) was proposed to replace the fashionable T-S fuzzy neural network. The method illustrated how to apply SOFM and GA to improve the fault...
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