Title :
Research on 3D-parking Scheduling Basic on GAAA Algorithm
Author :
Zhou, Xue-Song ; Tian, Mi ; Ma, You-Jie ; Xu, Lijin
Author_Institution :
Tianjin Univ. of Technol., Tianjin, China
Abstract :
Through the research to the 3D-parking scheduling, bring forward the use of GAAA algorithm to search for the shortest path with shortest time in parking scheduling firstly, the GAAAA algorithm inosculate the Genetic Algorithm (GA) and Ant Algorithm (AA), which make up the shortcoming of GA and AA very well. Furthermore, through the simulation analysis proved that GAAA have better performance than GA in solving efficiency, The use of this kind of parking scheduling of solid garage, it makes the parking scheduling of solid garage step to automation and intelligent more forward.
Keywords :
computer graphics; cooperative systems; genetic algorithms; scheduling; traffic engineering computing; 3D-parking scheduling basic; AA; GA; GAAA algorithm; ant algorithm; genetic algorithm; Analytical models; Automation; Cities and towns; Control systems; Genetic algorithms; Intelligent sensors; Mechatronics; Scheduling algorithm; Solid modeling; Time measurement; GAAA; ant algorithm; genetic algorithm; solid garage;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.481
