A Study on Optimum Structural Design of Container Ship

Kitamura, Mitsuru; Nobukawa, Hisashi; Djenod, Kaharuddin

doi:10.2534/jjasnaoe1968.1999.186_353

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, GAs have received considerable attention owing to their potential as novel optimization techniques. [4][5][6][7][8][9][10] By using a GA, the global optimum can be reached more easily than by some traditional optimization techniques. One other major advantage is that they can be applied to optimization problems with discrete design variables.…”

Section: Introductionmentioning

confidence: 99%

Application of a genetic algorithm to the optimal structural design of a ship's engine room taking dynamic constraints into consideration

Kitamura

Nobukawa

Yang

2001

Journal of Marine Science and Technology

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Application of a genetic algorithm to the optimal structural design of a ship's engine room taking dynamic constraints into consideration

Kitamura

Nobukawa

Yang

2001

Journal of Marine Science and Technology

Self Cite

View full text Add to dashboard Cite

“…1) Now, the practical use of the optimization technique is also advanced because of the improvement of the computer ability. In shipbuilding, a lot of researches have already been done about structural design 2,3) and the work scheduling 4,5) . The effectiveness of the Genetic Algorithm (GA) in the optimization problem concerning the design and the production of shipbuilding has been shown by these researches.…”

Section: Introductionmentioning

confidence: 99%

Optimization System of Block Division Using Genetic Algorithm and Product Model

et al. 2007

View full text Add to dashboard Cite

Block construction method is generally used in modern shipyards. In this method, interim products are built by assembling parts, and the ship is built from these interim products. This process can be referred as "Assembling Hierarchy" in this paper. In order to construct the ship effectively, an appropriate Assembling Hierarchy plan which considering the configurations of interim products is required. So in this paper, an optimization system of ship Assembling Hierarchy using Genetic Algorithms (GA) and Product Model is discussed.In order to realize the optimization using GA, it is necessary to define the chromosomes and to examine the GA operations. Therefore, Joint Hierarchy Chromosome is newly introduced. Joint hierarchy chromosome is genotype or encoded solution of Assembling Hierarchy. In this chromosome, the level of Assembling Hierarchy on each joint is set as design variable. By using this chromosome, various plans of ship Assembling Hierarchy can be generated. Effective GA operations such as selection, crossover and mutation are also shown. Moreover, proposed system is integrated with Product Model. Therefore, fitness with penalty of the plan is calculated by the use of Product Model data.Finally, an example of the optimization is shown in the paper to confirm the validity of the developed method.

show abstract