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Optimal Ballast Scheme Design for Ships Using an Improved Genetic Algorithm

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Indexed by:期刊论文

Date of Publication:2009-02-01

Journal:International Journal of Innovative Computing and Applications

Included Journals:EI、Scopus

Volume:2

Issue:2

Page Number:133-139

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. Copyright ? 2009 Inderscience Enterprises Ltd.

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