Title :
Cooperative task allocation for multiple mobile robots based on multi-objective optimization method
Author :
Shi, Zhan ; Chen, Qingwei ; Li, Sheng ; Cai, Hua ; Shen, Xiaoning
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
In order to obtain the optimal scheme of task allocation problem for multiple mobile robots. Considering task allocation problem is a multi-objective optimization problem in essence, a general multi-objective task allocation model is established. A new method named multi-objective optimization genetic algorithm based on decision preference information (DPIMOGA) is proposed to solve the optimal allocation scheme. Numerical simulations show that DPIMOGA can solve the problem with light decision burden and Real-time interaction, which denotes that the cooperative task allocation problem solved by DPIMOGA is feasible and effective for multiple mobile robots.
Keywords :
cooperative systems; genetic algorithms; mobile robots; DPIMOGA; cooperative task allocation; decision preference information; light decision burden; multiobjective optimization genetic algorithm; multiple mobile robots; optimal allocation scheme; realtime interaction; Magnetic resonance imaging; Optimization; Robots; DPIMOGA; multi-objective optimization; multiple mobile robots; task allocation;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5565059
