载人潜水器舱室设备智能布局是一种基于知识的智能化过程，以往的载人潜水器舱室 CAD 系统通常采用交互式输入和修改，不能从全局最优化的思想支持载人潜水器舱室设计全过程。将智能技术引入系统载人潜水器舱室布局设计方法中，可以推动船舶智能设计、智能制造、智能工程的全面发展。论文在研究遗传算法的基础上，提出了基于Pareto的PGA算法进行多目标优化计算，建立载人潜水器舱室布局优化数学模型，并使用 PGA 进行求解。经设计委托方评审，获得的计算结果符合设计要求，该方法使整个项目的设计效率明显提高。%Intelligent layout of manned submersible cabin equipments is a kind of intelligent process based on knowledge. In previous manned submersible cabin CAD system, interactive input and modification is usually used, but the whole idea of optimization supporting cabin design process is not involved. If intelligent technique is introduced into the manned submersible cabin layout design system, then intelligent design, intelligent manufacture will be pushed. In this paper, based on genetic and Pareto algorithm, a PGA algorithm is put forward for multi-objective optimization. Mathematical model of cabin layout optimization is set up, and PGA is applied to get solution. The result is reviewed by client and corresponds with design requirements, and improves the efficiency of whole project design significantly.
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