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Fig 1.

Common complex thin plate components.

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Fig 2.

Research flowchart.

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Fig 3.

Finite element model of ship components.

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Table 1.

Comparison of two algorithms.

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Fig 4.

Diagram of particle velocity update in the classical multi-objective particle swarm algorithm.

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Fig 5.

Particle update rate in multi-objective particle swarm algorithm after adding a perturbation term.

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Table 2.

Comparison of key parameters between present simulation and literature data [421].

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Table 3.

Physical property parameters of Q345.

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Fig 6.

Target structure dimensions.

(a) Material heat transfer properties (b) Mechanical properties of materials.

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Fig 7.

Thermophysical properties of Q345 material.

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Fig 8.

Network pattern division of ship deck structural members.

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Fig 9.

Two-dimensional plan view of ship deck structural members.

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Table 4.

Main parameters of the algorithm.

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Fig 10.

Convergence curves of different algorithms.

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Table 5.

Information on the optimal assembly sequence.

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Table 6.

Quantitative comparison of optimization results for different algorithms.

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Fig 11.

Average z-axis displacement.

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Fig 12.

Z-axis displacement distribution of Line 1.

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Fig 13.

Z-axis displacement distribution of Line 2.

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Fig 14.

Z-axis displacement distribution of line 3.

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Table 7.

Results of the Wilcoxon Rank-Sum Test (IMaOPSO vs. Benchmarks).

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