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http://dx.doi.org/10.5391/IJFIS.2009.9.4.275

Design of Genetic Algorithm-based Parking System for an Autonomous Vehicle  

Xiong, Xing (School of Electronic Engineering, Daegu University)
Choi, Byung-Jae (School of Electronic Engineering, Daegu University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.9, no.4, 2009 , pp. 275-280 More about this Journal
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.
Keywords
Genetic Algorithm; Evolutionary Algorithm; Autonomous Vehicle; Parking System; Fitness;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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