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Impact of Initial Population on Evolutionary Path Planning Algorithm

Abstract

In this paper an impact of initial population on 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. Four tests are performed. For each test 50 initial population is used. The results are compared in terms of repeatability of the obtained solution. Undertaken research allow to conclude whether presented algorithm is resistant to random initial population or require a preselected initialization.

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Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
XVIII Krajowa Konferencja Automatyki strony 1 - 9
Language:
English
Publication year:
2014
Bibliographic description:
Kuczkowski Ł., Śmierzchalski R.: Impact of Initial Population on Evolutionary Path Planning Algorithm// XVIII Krajowa Konferencja Automatyki/ : , 2014, s.1-9
Verified by:
Gdańsk University of Technology

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