Optimization method for control panel layout of manned submarine vehicle based on genetic-ant colony algorithm

Abstract

Traditional computer-aided design methods for the control panel layout of manned submersibles commonly use interactive input and modification, which cannot support a global optimization process. To overcome this limitation, this study introduces the genetic-ant colony algorithm to design the control panel layout of manned submersibles. Based on the cognitive characteristics of humans, layout optimization principles are summarized and incorporated into the objective function variables during the optimization process. The fitness function, pheromone, and heuristic information expressions for optimizing the control panel layout of manned submersibles are studied to establish the genetic-ant colony algorithm flow during optimization design. Taking the control panel layout design of a certain manned submersible type as an example, this study performs multi-objective optimization calculations to quantify the layout optimization principles and combine them with the algorithm, verifying the feasibility of the proposed design method.