Cooperative Driven Algorithm for Couzin Model Based Fish School by Multiple Predators

Abstract

The predation of large school of fish by the cooperation of multiple predators of different species is one of the most marvelous scene in the sea. In this paper, we study how to drive the fish school to the surface of the sea by the cooperation of multiple predators. In particular, we have first proposed a modified Couzin model for the fish school, which, on top of the classic Couzin model, also takes into consideration the effect imposed passively by the predators. The basic idea for the driven algorithm is to drive behind the fish school to some delicate extent so that, on one hand, the fish school shall move towards the target region, and on the other hand, the fish school will not disperse and spread away. Moreover, if some fish strays away from the fish school, the predator will take actions to force it back which can greatly reduce the possibility for the fish school to split into multiple subgroups. Comprehensive simulation results are provided to validate the proposed algorithm.