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Improved many-objective particle swarm optimization based welding sequence optimization research
Lei Dong1,2,3, Shimin Gu4, Jianwei Dong4
1Shenyang Institute of Computing Technology Chinese Academy of Sciences, Shenyang, China.
Plos One
|March 5, 2026
Summary
Optimizing welding sequences for ships reduces deformation and stress. An improved algorithm (IMaOPSO) enhances traditional methods, leading to better welding quality and efficiency in shipbuilding.
Area of Science:
- Naval Architecture and Marine Engineering
- Computational Engineering
- Materials Science and Engineering
Background:
- Traditional welding sequence optimization (WSO) methods for ship components are often inadequate, relying on experience and leading to issues like deformation and cracking.
- Complex, multi-objective, and nonlinear challenges in WSO necessitate advanced systematic approaches.
- Existing optimization algorithms may struggle with the high dimensionality and specific constraints of shipbuilding WSO.
Purpose of the Study:
- To develop a systematic welding sequence optimization (WSO) method for ship structural parts.
- To integrate process and geometric constraints into a formal optimization framework.
- To quantify structural deformation and residual stress as key optimization objectives.
Main Methods:
- Development of an Improved Many-Objective Particle Swarm Optimization (IMaOPSO) algorithm.
- Enhancement of classical Particle Swarm Optimization (PSO) with adaptive fuzzy dominance and elite-guided perturbation for improved convergence and diversity.
- Simulation analysis using SYSWELD software to evaluate different welding sequences.
Main Results:
- The IMaOPSO algorithm demonstrated superior convergence speed and stability compared to established algorithms (NSGA-II, SPEA2, SMPSO).
- A case study on a ship deck structure showed significant reductions in average deformation (32.6% to 62.2%) using the optimized sequence.
- The proposed method effectively addresses high-dimensional WSO problems with integrated constraints.
Conclusions:
- The developed systematic WSO method, powered by IMaOPSO, offers a robust solution for complex shipbuilding challenges.
- The optimized welding sequences significantly improve welding quality by reducing deformation and residual stress.
- This approach holds substantial practical engineering value for enhancing efficiency and quality in shipbuilding.
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