40 results about "Function optimization problems" patented technology

The invention relates to a network topology optimal design method in consideration of business process features. The method comprises the following steps: step one, determining network information according to an engineering application demand, wherein the network information comprises network node amount, network business information, and other information required by the engineering application;step two, establishing a network topology optimal design model in consideration of the business; regarding the network topology design problem in consideration of the business as a target function optimization problem with a constraint condition, wherein the constraint condition is determined according to engineering actual condition, an optimal target is the loaded network performance index of the specific business, and the solution is the optimal network topology structure; and step three: solving the optimum network topology based on the genetic algorithm. The method disclosed by the invention has the advantages: (1) the business process features can be considered while supporting the network topology design, and the network topology with the optimum performance can be obtained; and (2) the acquired network topology in consideration of the business process features can improve the business reliability in the network operation, and has important engineering significance.

The invention provides a sensor noise signal inhibition method in a three-point-method rotation error separation process. The method comprises steps that firstly, a sensor mounting angle is reasonably designed to carry out signal acquisition, and a sensor combination signal frequency domain expression in a three point method after noise signal interference is constructed; secondly, an error model of a real rotor contour signal and a contour signal acquired through separation after noise interference is established, and a transfer function of a noise signal in a separation process is acquired through analysis; lastly, an optimization target function is constructed according to the acquired transfer function, a harmony search algorithm based on coordinate rotation is further utilized to carry out optimization solution. According to the method, a sensor noise signal inhibition problem in the three-point-method rotation error separation process is converted into a target function optimization problem, each-order frequency components of the noise signal are effectively inhibited through optimizing the transfer function of the noise signal, and rotation error separation precision is improved.

Provided is a traffic signal timing optimization method based on principal component analysis and a local search improvement orthogonality genetic algorithm. The algorithm is provided by analyzing internal relation among the genetic algorithm, image processing and mode recognition and can be used for solving various function optimization problems. By means of the algorithm, an improvement orthogonality cross operator based on principal component analysis is provided. The operator first conducts PCA projection on the population before cross, individual length is reduced during cross, orthogonal cross operation is implemented on the projection area, the projection is projected to the original space after cross, redundant individual number and calculation expenses caused by redundancy are reduced, algorithm convergence speed is further improved, and the local search strategy is further introduced. The algorithm is applied to single-crossing signal timing optimization. By means of testing comparison with the existing algorithm, the method improves algorithm generality and efficiency, effective timing time is acquired, and the number of the queuing vehicles in front of a crossing is reduced.

The present invention is a polymetallic open-pit mine production operation plan preparation method based on the improved gray wolf algorithm. On the basis of the existing production operation plan, the allowable fluctuation range of the quality index of the selected ore is regarded as a constraint condition, and at the same time, the Based on the grade constraints of polymetallic components, a production operation planning model aimed at minimizing ore mining and transportation costs was established, and then the improved gray wolf algorithm was used to solve the model; compared with the original solution method, gray wolf The algorithm has the advantages of high solution accuracy and fast convergence speed, and is very suitable for solving complex function optimization problems under multi-constraint conditions. In the process of solving the optimization model of the polymetallic open-pit mine production operation plan, the operation plan that meets the actual production needs can be quickly obtained. The invention has important guiding significance for improving the utilization rate of mined ores, stabilizing the grade level of polymetallic open-pit mines, and improving the economic benefits of mining enterprises.

Provided is a traffic signal timing optimization method based on a principal component analysis improvement genetic algorithm. The algorithm is provided by analyzing internal relation among the genetic algorithm, image processing and model recognition and can be used for solving various function optimization problems. By means of the algorithm, principal component analysis is conducted on population individuals to analyze design cross and a mutation operator. The mutation operator can avoid the cross position where ineffective cross may be generated easily according to similar genes of parent individuals counted by PCA, useless cross is reduced, and algorithm search efficiency is improved. The mutation operator conducts self-adaptation mutation probability adjustment according to the similar genes counted by PCA to protect the good mode and improve the local research efficiency of the algorithm. The algorithm is applied to single-crossing signal timing optimization. By means of testing comparison with the existing algorithm, the method improves algorithm generality and efficiency, effective timing time is acquired, and the number of the queuing vehicles in front of a crossing is reduced.