DocumentCode :
3467036
Title :
Power-law fitness function scaling in the evolutionary method of path planning
Author :
Kolendo, P. ; Jaworski, B. ; Smierzchalski, Roman
Author_Institution :
Fac. of Electr. & Control Eng., Gdansk Univ. of Technol., Gdansk, Poland
fYear :
2011
fDate :
22-25 Aug. 2011
Firstpage :
413
Lastpage :
420
Abstract :
The main goal of the present paper is to discuss the application of the power-law fitness function scaling in the evolutionary method of path planning and its impact on the quality of final solution and the computation time necessary to solve the problem with the described scaling applied. In this paper we use the navigation problem of avoiding collision at sea for testing ground. A wide range of marine collision situations was provided to reveal advantages of power-law scaling application. The performed investigations have shown that the use of power-law scaling in the evolutionary path planning method preserves the diversity of solutions by a larger number of generations in the exploration phase. Results were also compared with a previous research that was performed using linear scaling.
Keywords :
collision avoidance; computational complexity; evolutionary computation; mobile robots; collision avoidance; computation time; evolutionary method; linear scaling; marine collision situations; mobile robots; navigation problem; path planning; power-law fitness function scaling; Convergence; Marine vehicles; Navigation; Safety; Testing; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2011 16th International Conference on
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4577-0912-8
Type :
conf
DOI :
10.1109/MMAR.2011.6031383
Filename :
6031383
Link To Document :
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