Method for planning path in complex space based on improved chaotic particle swarm

Abstract

The invention discloses a method for planning a path in a complex space based on an improved chaotic particle swarm. The method comprises the steps of firstly, providing an averaged Logistic chaotic mapping mode, and carrying out segmentation initialization on a chaotic sequence so as to form an initial path of a to-be-moved object in the complex space; secondly, providing a self-adaptive fitness value calculation method based on the initial path; and finally providing an optimal path obtained based on the to-be-moved object in the current complex space, a learning factor of particle maximum speed change, a maximum speed updating strategy and an elitist retention strategy. The defects that an existing path planning method based on the particle swarm algorithm is low in convergence speed and low in convergence precision are overcome, and the space switching efficiency is improved. Finally, simulation experiments and contrast experiments are carried out on the method provided by the invention, and the superiority of the method is proved. The method is mainly used for automatic path planning of a mobile agent in the complex space.

Description

technical field [0001] The invention relates to the technical field of transformation and control of multiple cultural activity spaces in a small-scale cultural service complex, in particular to a path planning method in complex space based on improved chaotic particle swarms. Background technique [0002] With the continuous development of science and technology, the diversity and self-organization of rural cultural activities are getting higher and higher. Through the investigation and preliminary analysis of domestic grass-roots public cultural venues, rural grass-roots communities have a greater demand for comprehensive culture, but the existing classified cultural facilities cannot meet residents' expectations for comprehensive cultural needs. The small cultural service complex can better solve this problem. Its focus is to promote the construction of multi-functional activity space. It can integrate folk activities, exhibitions, conferences, reading and other functions...

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned problems existing in the prior art, the purpose of the present invention is to provide a path planning method in complex space based on improved chaotic particle swarms, which not only solves the problem of slow planning speed, Convergence accuracy is not high, and the path planning and obstacle avoidance functions of the mobile agent in the complex space are realized, which improves the space switching efficiency of the complex

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