基于遗传算法的舰船抗沉决策模型研究

Genetic algorithm-based counter-flooding decision model for damaged warship

为了评估抗沉方案的优劣,本文提出紧急情况下辅助快速决策的抗沉决策模型,并采用遗传算法来求解,核心思想是采用可用的抗沉舱进行压载或排空操作来调整船舶浮态。改进的遗传算法采用轮盘赌选择,单点交叉,变异进行迭代计算直到满足停止准则,选择倾斜角和横倾角作为停止准则。通过实例计算,证实了提出的优化模型和遗传算法的有效性。

To establish a definite evaluation standard, this paper presents a counter-flooding decision model for scheme evaluation and decision support in shipboard flooding emergency. It adopts genetic algorithm to solve the proposed optimization model, which involves the combination of counter -flooding tanks that should be filled or evacuation in order to achieve an optimal response to a flooding accident. The genetic algorithm is developed with roulette wheel selection, one-point crossover, mutation, and iterative process continues until terminating condition is encountered. The stopping criterion proposed in this paper is the tilt angle, also the heeling angle is another terminate rule. The computational results validate the effectiveness of proposed optimization model and genetic algorithm.