Paper
23 November 2022 Seagull optimization algorithm combining Cauchy mutation and elite reverse learning
Xingyu Pan, Shipin Yang, Lijuan Li, Tingting Zhao
Author Affiliations +
Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124541Z (2022) https://doi.org/10.1117/12.2658869
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China
Abstract
In recent years, with the rapid growth of the number of cars, the problem of "difficult parking" has become increasingly prominent, especially in the parking lot. It often takes a long time for drivers to find a free parking space. Low parking efficiency seriously affects the driver's parking feeling, which is an urgent problem to be solved. In view of this phenomenon, based on the analysis of the internal structure of the parking lot, this paper abstractly establishes the parking guidance data model, comprehensively considers the restrictive factors affecting the driver's parking psychology, then uses the improved Dijkstra algorithm to optimize the guidance data model, and finally finds out the optimal parking path, which greatly improves the parking efficiency and parking feeling.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingyu Pan, Shipin Yang, Lijuan Li, and Tingting Zhao "Seagull optimization algorithm combining Cauchy mutation and elite reverse learning", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124541Z (23 November 2022); https://doi.org/10.1117/12.2658869
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KEYWORDS
Optimization (mathematics)

Particle swarm optimization

Genetic algorithms

Computer simulations

Detection and tracking algorithms

Algorithms

Solar cells

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