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A path planning method based on hierarchical hybrid algorithm was proposed, which is aimed at the path planning features in urban road traffic. The method by analyzing and transforming the traffic restriction combines the ant colony algorithm and genetic algorithm. The ant colony algorithm employed at the bottom calculates simultaneously in a few of subnets for the local optimization, and the genetic...
This article proposed the affect of distribution network reconfiguration in the power grid, summaries a variety of methods to solve distribution network reconfiguration problem and analyzed features of these methods applied to distribution network reconfiguration. The solution worked out using the algorithm based on optimal flow pattern may not be optimal or near optimal. But the algorithm combined...
In the field of finance, RMB is China's legal currency, whose numbers are unique. Therefore, the number of the paper currency is the sign of the paper currency. The identification method of RMB numbers is described in this paper based on the sorter in the financial field-RMB number identification algorithm based on genetic evolution neural network, to effectively improve the accuracy and speed of...
The costs of pre-building graphic in the construction project management is a very important job, based on neural network theory and the characteristics of the costs of building graphic, raised GA neural network to solve the cost of building graphic problem, applied BP network model and used GA to optimize the weight based on BP algorithm. The calculation examples showed that the accuracy of the cost...
Emotion recognition is one of the most important issues in advanced human-computer interaction today. This paper proposes The Simulated Annealing Genetic Algorithm to recognizing four emotional states from four physiological signals. The experiment shows that based on physiological signals, SAGA is feasible and effective.
Aiming at the fact that the current method of designing elastic constrained mechanism in swashplate engine is deficient and the vibration noise is very large, a new method for optimization design of constrained mechanism is put forward based on back propagation (BP) artificial neural network and genetic algorithm (GA). Firstly the dynamics model of constrained mechanism-shafting in swashplate engine...
The geometric constraint solving can transform into the numerical optimization solving. A new hybrid algorithm is proposed which combines the merits of global search of the Genetic Algorithm and the good property of local search of the simplex algorithm approach. This algorithm uses Genetic Algorithm to search the area where the best solution may exist in the whole space, and then performs fine searching...
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