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Part arrangement optimization in ship engine room based on the genetic algorithm

机译:基于遗传算法的船舶机房零件布置优化

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The initial design of the ship's engine room is usually done based on previous design data such as references data, optimal theoretical solutions, requirements items and design constraints. And designed data is used for the next design phase. Especially the designer modify layout based on equipment considerations, performance analysis and equipment evaluation operator. Finally, the optimal layout is selected after evaluation based on designer knowledge and experience. This time, the world's shipbuilding trade becomes very tight. To compete in the world trade market, the shipyard should make the latest innovation that can boost their companies. One of the most popular breakthroughs that make more efficient in ship design. Today, various concepts that are closely related to efficiency management are being intensely explored. On the other hand, the ship's engine room is the most complicated part of the ship so that the formulation strategy is still being developed gradually. In regards with all of that, this paper shows a new step to optimize the part arrangement in engine rooms using the genetic algorithm. Genetic algorithms used for the preparation of engine rooms in the future will improve design optimization due to minimize of the pipe length. Therefore, directly related to saving production costs. Result shows that the pipe length and pipe cost decreased about 4.26% and 3.86% respectively.
机译:船舶发动机室的初始设计通常基于先前的设计数据,例如参考数据,最佳理论解决方案,要求项目和设计约束。设计的数据用于下一个设计阶段。特别是设计师根据设备考虑,性能分析和设备评估操作员修改布局。最后,根据设计者知识和体验评估后选择最佳布局。这一次,世界的造船业贸易变得非常紧张。为了在世界贸易市场中竞争,造船厂应该制定最新的创新,可以提高他们的公司。最受欢迎的突破之一,在船舶设计中更有效。如今,凭借效率管理密切相关的各种概念都是强烈的探索。另一方面,船的发动机室是船舶最复杂的部分,因此制定策略仍在逐步发展。关于所有这些,本文展示了使用遗传算法优化发动机室中的部件布置的新步骤。用于制备未来发动机室的遗传算法将提高设计优化,因为最小化管长度。因此,直接相关,以节省生产成本。结果表明,管材长度和管材成本分别降低了约4.26%和3.86%。

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