Research on Ship Thrust Distribution Based on Adaptive Particle Swarm Bee Colony Hybrid Algorithm

Abstract

Aiming at the thrust distribution problem of nonlinear constraint in ship dynamic positioning system, an adaptive hybrid particle swarm optimization and bee colony algorithm was proposed, which was based on particle swarm optimization and bee colony algorithm, and introduced by the adaptive idea and bidirectional stochastic optimization mechanism. The optimization objective function with the minimum energy consumption and the minimum error of the thruster system was established by fully considering the thrust feasible region, the change rate of thrust and rudder angle and other constraints. Simulation results show that this algorithm can solve the thrust distribution problem reasonably and efficiently.