{"title":"An optimization design method for submarine cabins based on intelligent algorithms","authors":"Lin Ma , Dengkai Chen , Yanpu Yan , Weilan An","doi":"10.1016/j.ijnaoe.2024.100642","DOIUrl":null,"url":null,"abstract":"<div><div>Submarine compartment layout design is a multi-objective optimization problem, which needs to consider the mutual position, passage relationship, comfort, convenience, and other aspects between compartments. Based on the characteristics of submarine living cabin layouts, this paper introduces a fuzzy evaluation method to comprehensively analyze the functional adjacency and personnel circulation relationships between compartments. Moreover, combined with emergency evacuation requirements, the study established a double layer cabin layout optimization model and proposed a multi-population genetic algorithm for optimizing the layout of submarine living cabins. Simulation experiments were conducted using MATLAB software to validate the algorithm's effectiveness. A comparison was made between the multi-population genetic algorithm and the standard genetic algorithm. The results verify the feasibility of the proposed design method and its ability to effectively address the submarine compartment layout optimization problem, thereby improving the efficiency of compartment layout optimization design.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100642"},"PeriodicalIF":2.3000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Naval Architecture and Ocean Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209267822400061X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MARINE","Score":null,"Total":0}
引用次数: 0
Abstract
Submarine compartment layout design is a multi-objective optimization problem, which needs to consider the mutual position, passage relationship, comfort, convenience, and other aspects between compartments. Based on the characteristics of submarine living cabin layouts, this paper introduces a fuzzy evaluation method to comprehensively analyze the functional adjacency and personnel circulation relationships between compartments. Moreover, combined with emergency evacuation requirements, the study established a double layer cabin layout optimization model and proposed a multi-population genetic algorithm for optimizing the layout of submarine living cabins. Simulation experiments were conducted using MATLAB software to validate the algorithm's effectiveness. A comparison was made between the multi-population genetic algorithm and the standard genetic algorithm. The results verify the feasibility of the proposed design method and its ability to effectively address the submarine compartment layout optimization problem, thereby improving the efficiency of compartment layout optimization design.
期刊介绍:
International Journal of Naval Architecture and Ocean Engineering provides a forum for engineers and scientists from a wide range of disciplines to present and discuss various phenomena in the utilization and preservation of ocean environment. Without being limited by the traditional categorization, it is encouraged to present advanced technology development and scientific research, as long as they are aimed for more and better human engagement with ocean environment. Topics include, but not limited to: marine hydrodynamics; structural mechanics; marine propulsion system; design methodology & practice; production technology; system dynamics & control; marine equipment technology; materials science; underwater acoustics; ocean remote sensing; and information technology related to ship and marine systems; ocean energy systems; marine environmental engineering; maritime safety engineering; polar & arctic engineering; coastal & port engineering; subsea engineering; and specialized watercraft engineering.