基于粒子群优化算法的船舶机舱布置优化

Optimization of ship engine room layout based on particle swarm optimization algorithm

船舶机舱布置的优化设计是现代船舶设计的重要研究领域,一个合理的机舱布置不仅能满足整体的空间需求,同时还能提升船舶动力系统性能。船舶机舱布置的优化是一个多条件约束问题,随着现代船舶结构复杂度增加,传统CAD交互式设计方法已经不能满足现代机舱布置优化性能要求。粒子群优化算法是一种基于遗传算法的智能优化算法,能够对多边界条件进行模拟,算法复杂度较低。本文设计了基于粒子群优化算法的船舶机舱布置的优化系统,并进行仿真。

The optimization design of ship engine room layout has always been an important research field of modern ship design. A reasonable engine room layout can not only meet the overall space requirements, but also improve the performance of ship power system. The optimization of ship engine room layout is a multi-constrained problem. With the increasing complexity of modern ship structure, the traditional CAD interactive design method can not meet the performance requirements of modern engine room layout optimization. Particle swarm optimization (PSO) is an intelligent optimization algorithm based on genetic algorithm, which can simulate Multi-boundary conditions with low complexity. The optimization system of ship engine room layout based on particle swarm optimization is designed and simulated.