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Table 1.

Current research on improved metaheuristic algorithms.

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Fig 1.

The linearly decreasing convergence factor a.

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Fig 2.

Population initialized by Pseudo-Random Number.

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Fig 3.

Population initialized by Good Nodes Set.

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Fig 4.

Simulation of Spiral flight.

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Fig 5.

Simulation of Levy flight.

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Fig 6.

Comparison of different types of inertia weight .

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Fig 7.

Comparison of the original a and the proposed a.

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Table 2.

Results of parameter sensitivity analysis experiment. LSWOA(20,25) means k1=20, k2=25; LSWOA(25,20) means k1=25, k2=20.

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Fig 8.

Performance of LSWOA in qualitative analysis experiment (F1-F8).

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Fig 9.

Performance of LSWOA in qualitative analysis experiment (F9-F16).

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Fig 10.

Performance of LSWOA in qualitative analysis experiment (F17-F23).

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Fig 11.

Iterative curves of the algorithms in ablation study.

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Fig 12.

Iterative curves of the algorithms in comparison experiment.

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Table 3.

Parameter settings for metaheuristic algorithms.

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Table 4.

Details of the metaheuristic algorithms in comparison experiments.

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Table 5.

Results of parametric tests of different algorithms. Ave indicates average fitness, Std indicates standard deviation.

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Table 6.

Results of non-parametric tests of different algorithms.

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Table 7.

Results of non-parametric tests of different algorithms in higher dimensions.

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Table 8.

Effectiveness of LSWOA and other SOTA algorithms with D=30, 50 and 100.

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Fig 13.

Iteration curves of the algorithms in the Three-bar Truss design problem.

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Fig 14.

Iteration curves of the algorithms in Tension/Compression Spring design problem.

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Fig 15.

Iteration curves of the algorithms in Speed Reducer design problem.

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Fig 16.

Iteration curves of the algorithms in Cantilever Beam design problem.

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Fig 17.

Iteration curves of the algorithms in I-beam design problem.

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Fig 18.

Iteration curves of the algorithms in Piston Lever design problem.

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Fig 19.

Iteration curves of the algorithms in Gas Transmission System design problem.

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Table 9.

Average fitness and standard deviation of each algorithm across the seven engineering design problems. Ave indicates average fitness, Std indicates standard deviation.

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Table 10.

Standard benchmark functions [42].

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Fig 20.

The structure of a three-bar truss.

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Fig 21.

The structure of a tension/compression spring.

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Fig 22.

The structure of a speed reducer.

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Fig 23.

The structure of a cantilever beam.

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Fig 24.

The structure of an I-beam.

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Fig 25.

The structure of a piston lever.

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Fig 26.

The structure of a gas transmission system.

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