Ship inner shell optimization based on the improved particle swarm optimization algorithm. (September 2018)
- Record Type:
- Journal Article
- Title:
- Ship inner shell optimization based on the improved particle swarm optimization algorithm. (September 2018)
- Main Title:
- Ship inner shell optimization based on the improved particle swarm optimization algorithm
- Authors:
- Guan, Guan
Yang, Qu
Gu, Wenwen
Jiang, Wenying
Lin, Yan - Abstract:
- Highlights: Anew method for optimization of ship inner shell based on the improved particle swarm optimization algorithm is presented. Aparametric ship inner shell optimization model based on the parametric expression model of different types of ship inner shellis created. The particle swarm optimization algorithm is improved to solve this optimization model The feasibility of the method is verified by a 50000DWT product oil tanker Abstract: To improve the changeability of ship inner shell (SIS), so that both performance and design efficiency of transport ship can be improved, a new method for SIS optimization is proposed in this study. The method is based on the parametric expression model of SIS, which is a fully-associative model driven by dimensions. Based on the parameters of SIS, the computing system of hold capacity is developed to calculate the floating status and stability automatically. Furthermore, a parametric SIS optimization model is created, including optimization objective, constraints, optimization model solving etc., in which the maximized hold capacity and minimized ballast capacity are optimization objectives, the requirements and rules for SIS design are used as the constraints. The particle swarm optimization (PSO) algorithm is improved to solve this optimization model. The proposed method is applied to a 50, 000 DWT product oil tanker, and it is proved to be feasible, highly efficient, and engineering practical.
- Is Part Of:
- Advances in engineering software. Volume 123(2018)
- Journal:
- Advances in engineering software
- Issue:
- Volume 123(2018)
- Issue Display:
- Volume 123, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 123
- Issue:
- 2018
- Issue Sort Value:
- 2018-0123-2018-0000
- Page Start:
- 104
- Page End:
- 116
- Publication Date:
- 2018-09
- Subjects:
- Ship inner shell -- Parametric design -- Optimization -- Improved Particle Swarm Optimization (IPSO) algorithm
Computer-aided engineering -- Periodicals
Engineering -- Computer programs -- Periodicals
Engineering -- Software -- Periodicals
Periodicals
620.0028553 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09659978 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.advengsoft.2018.06.012 ↗
- Languages:
- English
- ISSNs:
- 0965-9978
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0705.450000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7027.xml