African Buffalo Optimization Algorithm for Collision-Avoidance in Electric Fish
This paper presents the African Buffalo Optimization algorithm for collision avoidance among electric fishes. Collision-avoidance in electric fish finds correlation with the Travelling Salesman avoiding the cities he has earlier visited. Collision avoidance in electric is akin to collision-avoidance...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27153/1/African%20Buffalo%20Optimization%20Algorithm%20for%20Collision1.pdf http://umpir.ump.edu.my/id/eprint/27153/ https://doi.org/10.31209/2018.100000059 https://doi.org/10.31209/2018.100000059 |
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| Summary: | This paper presents the African Buffalo Optimization algorithm for collision avoidance among electric fishes. Collision-avoidance in electric fish finds correlation with the Travelling Salesman avoiding the cities he has earlier visited. Collision avoidance in electric is akin to collision-avoidance in modern day driverless cars being promoted by Google Incorporation and other similar companies. The concept of collision-avoidance is also very useful to persons with visual impairment as it will help them avoid collision with objects, vehicles, persons, especially other visually-impaired. After a number of experimental procedures using the concept of the travelling salesman’s problem to simulate collision-avoidance in electric fish, this study concludes that the African Buffalo Optimization is a veritable tool for simulating collision avoidance in electric fishes. |
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