Matrixing Network and Distributed Computing in the Simulation of Fishing Nets

Matrixing network was developed in the simulation of fishing nets. We illustrated that it was a high efficient data structure in the engineering computation of such pelagic fishing gears as purse seine and trawl. Based on this matrixing network, distributed computing was employed in solving the huge mathematical models. The results indicated that distributed computing could logically and efficiently arrange the calculations, and the matrixing data gave great advantages in computations in computer. The results showed that knot model was easier and quicker to reach equilibrium state. More mass points with delicate distributions might be responsible for this phenomenon. The less stability for knotless purse seine in actual fishing at sea was also consistent with the simulations.