DocumentCode
2607579
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
fYear
2009
fDate
29-31 Oct. 2009
Firstpage
1
Lastpage
8
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICAT.2009.5348429
Filename
5348429
Link To Document