Research on the intelligent layout method of ship multi-deck cabins based on improved SLP and GMBOA

This work deals with the ship multi-deck cabin layout (SMCL) problem, aiming to provide insights for the application of intelligent design techniques in the field of shipbuilding. Based on decomposing SMCL into the problem of cabin allocation on multiple decks and the problem of cabin arrangement on each deck, the improved Systematic Layout Planning (SLP) method is adopted to automatically allocate cabins on multiple decks, and then the improved Genetic Monarch Butterfly Optimization Algorithm (GMBOA) is used to optimize the layout of the cabins allocated on each deck. An optimization model of SMCL is created, including a simplified model of the SMCL and five optimization objective functions. The improved GMBOA is established by introducing the crossover and mutation operations of genetic algorithm into the monarch butterfly optimization algorithm and optimizing the butterfly's migration algorithm to solve the cabin layout problem; at the same time, the Grefenstette coding method is used to avoid the destruction of cabin sequences by crossover and mutation operations. Finally, by comparing the numerical simulations on a tanker and a passenger ship with the original design, this study demonstrates the effectiveness and robustness of the proposed method in providing innovative and reasonable solutions.

• Record URL:
  • https://doi.org/10.1016/j.oceaneng.2024.116873
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0029801824002105
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Yunlong
  • Gu, Yujie
  • Zhang, Xin
  • Li, Kai
  • Guan, Guan
• Publication Date: 2024-3-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 116873
• Serial:
  • Ocean Engineering
  • Volume: 295
  • Issue Number: 0
  • Publisher: Pergamon
  • ISSN: 0029-8018
  • EISSN: 1873-5258
  • Serial URL: http://www.sciencedirect.com/science/journal/00298018

Subject/Index Terms

• TRT Terms: Design; Genetic algorithms; Layout; Ship decks; Ships
• Subject Areas: Design; Marine Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01907777
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 12 2024 9:31AM