Collaborative Layout Optimization for Ship Pipes Based on Spatial Vector Coding Technique

Abstract

Ship Pipe Route Design (SPRD) has always been a challenging and critical aspect in the detailed design for various types of ships. However, existing layout methods are inefficient, existing algorithms lack consideration for collaborative layouts in practical engineering, true intelligent design has not yet been achieved, and the issue of collaborative layout of pipes has been insufficiently researched. Based on the aforementioned research status, this paper proposes a novel collaborative pipe layout method. Firstly, a high-dimensional vector encoding technique to innovate the underlying mathematical representation of pipes is proposed, breaking free from traditional constraints. Secondly, a powerful and engineering-applicable hybrid AA-SPOP algorithm is incorporated, which is based on the heuristic swarm intelligence algorithm known as Artificial Fish Swarm Algorithm (AFSA), exhibits advantages such as high global optimization efficiency and strong adaptability. To mitigate potential issues like suboptimal local optimization and high sensitivity, this paper proposes a parameter adaptive equation and a series of optimization adjustment. Thirdly, a collaborative pipe layout method that considers support equipment is proposed. This paper effectively addresses the lack of research in this area by introducing branch pipe collaboration methods and energy zone guidance methods. Finally, through engineering simulation experiments, the paper demonstrates the efficiency, feasibility, and cutting-edge nature of the proposed collaborative layout optimization method.

Keywords

• Heuristic hybrid algorithm
• ship pipe and equipment collaborative layout optimization
• ship pipe route design (SPRD)
• vector encoding technique