Title :
Evolutionary multi-objective approach to control of mobile robot in unknown environment
Author :
Konjicija, Samim ; Avdagic, Zikrija
Author_Institution :
Fac. of Electr. Eng., Dept. of Control & Electron., Univ. of Sarajevo, Sarajevo, Bosnia-Herzegovina
Abstract :
This paper describes how a non-stationary multi-objective optimization model can be used for synthesis of control of mobile robot in unknown environment. The modelled problem is solved using multi-objective genetic algorithm (MOGA). Results of experiments conducted in simulation environment demonstrate the application of the described approach.
Keywords :
collision avoidance; control system synthesis; genetic algorithms; mobile robots; control synthesis; evolutionary multiobjective approach; mobile robot control; multiobjective genetic algorithm; Constraint optimization; Evolutionary computation; Genetic algorithms; Information technology; Mobile robots; Optimized production technology; Robot control; Shape measurement; Strategic planning; Trajectory; dynamic optimization; mobile robot; multi-objective evolutionary algorithm;
Conference_Titel :
Information, Communication and Automation Technologies, 2009. ICAT 2009. XXII International Symposium on
Conference_Location :
Bosnia
Print_ISBN :
978-1-4244-4220-1
Electronic_ISBN :
978-1-4244-4221-8
DOI :
10.1109/ICAT.2009.5348429
