Abstract
A Genetic Algorithm (GA) is a kind of search techniques used to find exact or approximate solutions to optimization and searching problems. This paper discusses the design of a genetic algorithm-based intelligent parking system. This is a search strategy based on the model of evolution to solve the problem of parking systems. A genetic algorithm for an optimal solution is used to find a series of optimal angles of the moving vehicle at a parking space autonomously. This algorithm makes the planning simpler and the movement more effective. At last we present some simulation results.
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© 2011 Springer-Verlag Berlin Heidelberg
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Xiong, X., Choi, BJ. (2011). Design of Genetic Algorithm-Based Parking System for an Autonomous Vehicle. In: Kim, Th., Adeli, H., Stoica, A., Kang, BH. (eds) Control and Automation, and Energy System Engineering. CES3 CA 2011 2011. Communications in Computer and Information Science, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26010-0_6
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DOI: https://doi.org/10.1007/978-3-642-26010-0_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-26009-4
Online ISBN: 978-3-642-26010-0
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