Uploaded January 2013 | Updated September 2026, 1 week ago
This video shows 4 test runs of a late generation of an evolved shoaling algorithm. Each test runs lasts for 500 time-steps, then the AUVs are reset at the starting point. At this state the evolved algorithm is capable of keeping the AUVs coherent and also letting them move collectively away from the starting point by emergent alignment. This solution presents good solution to the fitness function (coherence+alignment+mobility) that was used for the Evolutionary Algorithm.
Earlier generations of the evolving algorithm can be seen here:
Gen10: youtube.com/watch?v=HPPT8pxptxk
Gen436: youtube.com/watch?v=IGgnhgpDyyQ
Alternative EA run Gen600: youtube.com/watch?v=puaWyS041rQ
The evolvable parameters allowed the AUVs to change their perception and also their reaction to other near AUVs.
This video shows 4 test runs of a late generation of an evolved shoaling algorithm. Each test runs lasts for 500 time-steps, then the AUVs are reset at the starting point. At this state the evolved algorithm is capable of keeping the AUVs coherent and also letting them move collectively away from the starting point by emergent alignment. This solution presents good solution to the fitness function (coherence+alignment+mobility) that was used for the Evolutionary Algorithm.
Earlier generations of the evolving algorithm can be seen here:
Gen10: youtube.com/watch?v=HPPT8pxptxk
Gen436: youtube.com/watch?v=IGgnhgpDyyQ
Alternative EA run Gen600: youtube.com/watch?v=puaWyS041rQ
The evolvable parameters allowed the AUVs to change their perception and also their reaction to other near AUVs.
