Int. J. of Innovative Computing and Applications   »   2009 Vol.2, No.2

 

 

Title: Optimal ballast scheme design for cargo ships using an improved genetic algorithm

 

Author: Jing Chen, Yan Lin, Jun Zhou Huo, Ming Xia Zhang, Zhuo Shang Ji

 

Addresses:
State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, P.R. China.
State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, P.R. China.
School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, P.R. China.
State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, P.R. China.
State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, P.R. China

 

Abstract: Loading design is a key stage in ships' design process, and directly affects ships' stability, strength, and attitude at sea. The problem of loading design is a multi-objective combinatorial optimisation problem with multiple nonlinear constraints. In this paper, based on the complex technical requirements of ships' loading design, a mathematical model was constructed, taking the overall longitudinal strength and the intact stability performances as objectives, and the limits of ship's attitude, stability and strength, etc. as constraints. A strategy of tanks being fully-loaded-first was adopted and the corresponding improved genetic algorithm was presented where a novel heuristic dynamic adjusting rule was proposed to dynamically adjust the normalising coefficients of the non-commensurable objectives. Finally, a real case study on the loading design of a 50,000 DWT double hull product tanker was conducted to illustrate the effectiveness of the proposed method.

 

Keywords: ship design; ship loading; loading design; innovative computing; multi-objective optimisation; combinational optimisation; genetic algorithms; GAs; longitudinal strength; stability; ballast design; cargo ships; mathematical modelling; dynamic adjustment; tanker loading; double hull tankers.

 

DOI: 10.1504/IJICA.2009.031783

 

Int. J. of Innovative Computing and Applications, 2009 Vol.2, No.2, pp.133 - 139

 

Submission date: 28 Mar 2009
Date of acceptance: 15 Oct 2009
Available online: 24 Feb 2010

 

 

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