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Robot coalition problem is a complicated combinatorial optimization problem. In this paper, a novel improved quantum genetic algorithm for the problem is proposed. Based on quantum genetic algorithm, the new algorithm is mainly to improve the rotation angle of quantum gates. A new strategy is designed which can adaptively adjust the rotation angle according to the algorithm running state. Meanwhile,...
The authors propose a genetic algorithm–based approach to finding the optimal placement of actuators and sensors, which is critical for controlling intelligent truss structures in space.
In this study, the genetic algorithm is used to find the optimal cutting parameters for surface greatest productivity in drilling. In order to overcome shortcoming that the traditional welding stationary type drill bit is not easy to be replaced and has poor manufacturability, the machinery clamped type cemented carbide multiface drill has been developed. The cutting parameter optimization result...
This paper analyzed the method of calculating work resistance and consumed power in hydraulic system in a work cycle of loader, established mathematical model of work resistance, and selected the CYC_TEST_10sec as a work cycle. Based on the simulation software of power performance and fuel economy of loader, we designed the interface mode between simulation software and optimization algorithm. To...
Optimization of total arrangement of load-bearing coiled tubing operation vehicle can play a positive role for this apparatus to realize the normal work. Relevant overall arrangement is researched, applying for the genetic algorithm with character of searching for the optimal solution from more staring point in solution space. With consideration of requirements of a single vehicle driving and corresponding...
Motor fault diagnosis is important in industrial and agricultural production. Many methods have been employed to solve this problem. A novel method for motor fault diagnosis is proposed in this paper, which adopts the wavelet neural network and applies improved genetic algorithm to optimize the initial parameters of wavelet neural network. The results of training and testing show that the method is...
System dynamics is an important approach and theory to explore the behaviors of complex system. The policy optimization problems in a system dynamics model, however, still follow the "cut-and-try" method, and are difficult to get the optimal solution satisfactorily. This paper studies the policy optimization in system dynamics model. Firstly, a general formulation of policy optimization...
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