Title :
Termination functions for evolutionary path planning algorithm
Author :
Kuczkowski, Lukasz ; Smierzchalski, Roman
Author_Institution :
Electr. & Control Eng. Dept., Gdansk Univ. of Technol., Gdansk, Poland
Abstract :
In this paper a study of termination functions (stop criterion) for evolutionary path planning algorithm is presented. Tested algorithm is used to determine close to optimal ship paths in collision avoidance situation. For this purpose a path planning problem is defined. A specific structure of the individual path and fitness function is presented. For the simulation purposes a close to real tested environment is created. Five independent tests are performed using three stopping conditions: termination upon number of generations, population average score and population diversity. The results are compared in terms of number of generations needed to stop algorithm, calculation time and fitness function value. Undertaken research allow to select suitable parameters for studied stop criteria and conclude whether the termination function used in tests are adequate for specialized path planning evolutionary algorithm.
Keywords :
collision avoidance; evolutionary computation; mobile robots; ships; collision avoidance situation; evolutionary path planning algorithm; fitness function value; generation number; optimal ship paths; population average score; population diversity; stop criterion; termination functions; Evolutionary computation; Marine vehicles; Planning; Sociology; Statistics; Trajectory; evolutionary algorithm; path planning; stopping criteria; termination;
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4799-5082-9
DOI :
10.1109/MMAR.2014.6957428