Genetic algorithm for designation of safe ship trajectory

Authors

  • M. Mohamed-Seghir Akademia Morska w Gdyni, Morska 81–87, 81-581 Gdynia, Wydział Elektryczny, Katedra Automatyki Okrętowej

Keywords:

ship trajectory, genetic algorithm, fuzzy set theory, decision-making

Abstract

The article presents a multi-stage decision-making process in the fuzzy environment, using a method based on genetic algorithm. Whose structure has been developed specifically for the problem of determining the optimal safe ship trajectory in collision situations, taking into account the provisions of the international law of the sea route with the International Maritime Organization convention on the International Regulations for Preventing Collisions at Sea (COLREGs).

References

Bellman, R.E., Zadeh, L.A., 1970, Decision Making in a Fuzzy Environment, Management Science, no. 17.

[2] Kacprzyk, J., 2001, Wieloetapowe sterowanie rozmyte, WNT, Warszawa.

[3] Lazarowska, A., 2015, Ship’s Trajectory Plannig for Collision Avoidance at Sea Based on Ant Colony Optimisation, Journal of Navigation, vol. 68, no. 2, s. 291–307.

[4] Lisowski, J., 2015, Sensitivity of the Game Control of Ship in Collision Situations, Polish Maritime Research, vol. 22, no. 4(88), s. 27–33.

[5] Mohamed-Seghir, M., 2012, The Branch-and-bound Method and Genetic Algorithm in Avoidance of Ships Collisions in Fuzzy Environment, Polish Maritime Research, vol. 19. Special Issue, s. 45–49.

[6] Szłapczyński, R., 2014, Evolutionary Sets of Safe Ship Trajectories with Speed Reduction Manoeuvres within Traffic Separation Schemes, Polish Maritime Research, vol. 21, no. 1(81), s. 20–27.

[7] Śmierzchalski, R., Michalewicz, Z., 2000, Modeling of Ship Trajectory in Collision Situations by an Evolutionary Algorithm, IEEE Transactions on Evolutionary Computation, vol. 4, s. 227–241.

Downloads

Published

2017-10-30

How to Cite

Mohamed-Seghir, M. (2017). Genetic algorithm for designation of safe ship trajectory. Scientific Journal of Gdynia Maritime University, (98), 179–184. Retrieved from https://sjgmu.umg.edu.pl/index.php/sjgmu/article/view/229

Issue

No. 98 (2017)

Section

Articles

License

Copyright (c) 2017 The Author(s)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright to their work, licensing it under the Creative Commons Attribution License Attribution 4.0 International licence (CC BY 4.0) which allows articles to be re-used and re-distributed without restriction, as long as the original work is correctly cited. The author retains unlimited copyright and publishing rights.