2019 7th IEEE Conference on Systems, Process and Control (ICSPC2019)

1 / 2019-08-14 11:37:58

Research on Task Allocation Method Based on Heterogeneous Multi-AUV System

task assignment; resource allocation; artificial bee colony algorithm; niched genetic algorithms

In this paper, The Artificial Bee Colony Algorithm (ABC) is used to study the multi-autonomous underwater vehicle (AUV) distributed missions allocation scheme of a heterogeneous net. An improved bee colony- niched Genetic algorithm (IABC-NGA) algorithm is proposed to solve the multi-AUV optimal task allocation scheme in the late evolutionary stage to optimize the global search performance, improve the system cooperation ability and improve the lack of single AUV capability. Finally, a simulation experiment indicate evaluate the bee colony niched Genetic algorithm (IABC-NGA) algorithm. The simulation results show that IABC-NGA can obtain more effective task assignment and resource allocation result under multiple constraints.