Damaged Ship Anti-flooding Decision Plan Intelligent Generation System Based on Petri Net and Heuristic Color Genetic Algorithm

No matter in the wartime or in the peace time, the intelligent generation system of damaged ship anti-flooding decision plan is an important tool to guarantee ship survivability and safety. The intelligent decision plan generation system which has high search efficiency plays an important role in recovering the buoyancy and stability indicts of damaged ship. The intelligent decision plan generation system introduced in this paper contains Petri net model and heuristic color genetic algorithm. The Petri net is used to model the ship anti-flooding decision process and the heuristic color genetic algorithm is used to solve intelligent hull balance decision problem. The traditional genetic algorithm is improved according to the special demand of hull balance. Based on the definition of the colored gene and the foundation of the heuristic search rules, the heuristic color genetic algorithm is given to improve the traditional genetic algorithm search efficiency.