The calculation of ship dynamic positioning (DP) capability is a process of solving nonlinear multi-modal problems, and the comprehensive learning particle swarm optimization (CLPSO) is a suitable algorithm for this kind prob-lems. The paper presents the multi-swarm comprehensive learning particle swarm optimization (MCLPSO) for convergence of the original CLPSO is relatively slow at the late stage of evolution. Then the proposed optimization is used to calcu-late the DP capability for one DP system case. The results calculated by MCLPSO meet well with Kongsberg's report, and are much better than the results calculated by CLPSO.%船舶动力定位能力的计算是一个多次求解非线性多峰问题的过程,综合学习粒子群算法是解决多峰问题较为适合的算法.但由于综合学习粒子群算法的速度更新机制,在算法后期的局部搜索能力较弱,导致收敛速度慢.为此,引入多种群思想,改变速度更新策略以及结合粒子变异机制和种群重组机制,提出一种多种群综合学习粒子群优化算法.最后基于该算法设计了一种动力定位能力计算方法.实例计算结果表明,利用该方法的计算结果与Kongsberg公司给出的结果相吻合,也明显好于基于综合学习粒子群算法而得到的结果.
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