Paper
20 September 2022 Optimization of shipyard dock hoisting process based on improved genetic algorithm
Jinghua Li, Pengfei Lin, Qinghua Zhou, Boxin Yang
Author Affiliations +
Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122613W (2022) https://doi.org/10.1117/12.2640999
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China
Abstract
The dock shop hoisting is the core link in the shipbuilding process. However, due to the large number of constraints in the dock shop hoisting process, existing means cannot be applied to make reasonable hoisting program. Aiming at the dock hoisting process, this paper adopted oriented graph and AOE network planning technology to establish a hoisting network problem model. The energy consumption caused by the operation of the gantry crane during the hoisting process considered, and the paper took the optimization of the green hoisting process as the goal. To solve this problem, an improved genetic algorithm was designed and then compared with the traditional genetic algorithm. The applicability of the improved genetic algorithm was demonstrated. Finally, this algorithm was applied to a specific example to demonstrate that the improved genetic algorithm is feasible and effective to solve the problem of dock hoisting process optimization.
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Jinghua Li, Pengfei Lin, Qinghua Zhou, and Boxin Yang "Optimization of shipyard dock hoisting process based on improved genetic algorithm", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122613W (20 September 2022); https://doi.org/10.1117/12.2640999
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KEYWORDS
Genetic algorithms

Optimization (mathematics)

Mathematical modeling

Manufacturing

Process modeling

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