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Experimental research on evolutionary path planning algorithm with fitness function scaling for collision scenarios
Abstract
This article presents typical ship collision scenarios, simulated using the evolutionary path planning system and analyses the impact of the fitness function scaling on the quality of the solution. The function scaling decreases the selective pressure, which facilitates leaving the local optimum in the calculation process and further exploration of the solution space. The performed investigations have proved that the use of scaling in the evolutionary path planning method makes it possible to preserve the diversity of solutions by a larger number of generations in the exploration phase, what could result in finding better solution at the end. The problem of avoiding collisions well fitted the algorithm in question, as it easily incorporates dynamic objects (moving ships) into its simulations, however the use scaling with this particular problem has proven to be redundant.
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Methods and algorithms in navigation Marine navigation and saferty of sea transportation strony 85 - 91
- Language:
- English
- Publication year:
- 2011
- Bibliographic description:
- Kolendo P., Śmierzchalski R., Jaworski B.: Experimental research on evolutionary path planning algorithm with fitness function scaling for collision scenarios// Methods and algorithms in navigation Marine navigation and saferty of sea transportation/ ed. eds. A. Weintrit, T. Neumann. - Gdynia Maritime University. : , 2011, s.85-91
- DOI:
- Digital Object Identifier (open in new tab) 10.1201/b11344-15
- Verified by:
- Gdańsk University of Technology
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