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

Kitamura, Mitsuru; Nobukawa, Hisashi; Yang, Fengxiang

doi:10.1007/s007730070010

Cited by 13 publications

(3 citation statements)

References 10 publications

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“…Not numerous but highly promising results in the field of genetic algorithms use for multiobjective optimization tasks have been obtained lately including also the results in the field of ship structures (Okada & Neki 1992;Hutchinson et al 1998;Kitamura et al 2000;Klanac et al 2009;Sekulski 2010). Jang and Shin (1997) have applied the evolutionary strategy method for the multiobjective optimization of ship structures.…”

Section: Basic Concepts Of Multiobjective Optimizationmentioning

confidence: 99%

Ship Hull Structural Multiobjective Optimization by Evolutionary Algorithm

Sekulski

2014

Journal of Ship Research

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An evolutionary algorithm for multiobjective optimization of the structural elements of the large spatial sections of ships is presented. The evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area on a high-speed vehicle-passenger catamaran structure with several design variables such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinal and transversal structural members. Details of the computational models were at the level typical for conceptual design. Scantlings were analyzed using the selected rules of a classification society. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm can be a foundation of the effective multiobjective optimization tool for ship structure optimization. Further development of the tool should include more advanced methods for ship structural analysis.

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Section: Basic Concepts Of Multiobjective Optimizationmentioning

confidence: 99%

Ship Hull Structural Multiobjective Optimization by Evolutionary Algorithm

Sekulski

2014

Journal of Ship Research

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“…Several studies have been conducted in this area, exploring various aspects of structural optimization and material selection. For instance, one study delves into the use of genetic algorithms for structural optimization in the engine room [5]. Another research project investigates stiffener optimization in plates utilizing Finite Element Analysis (FEA) with Ansys [6].…”

Section: Introductionmentioning

confidence: 99%

Design optimization of small fishing vessel structures: A case study

Putra,

Rizqillah,

Yatim

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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The cost of vessel operations poses a significant challenge for fishermen in Indonesia, with 60% - 70% of their operational expenses being allocated to fuel. To address this issue and decrease fuel consumption in fishing vessels, one possible solution is to construct lighter boat designs. Through careful optimization of the construction process and the selection of suitable materials, it becomes feasible to achieve such a lighter design, leading to reduced operational and construction costs. The optimization process involves considering various frame spacing variations, like 400 mm, 500 mm, and 600 mm, and utilizing materials such as mild steel and AH32. Additionally, optimizing the plate thickness ensures that the vessel’s stress and deformation remain within the limits set by the rules. As a result of this optimization, a weight reduction of up to 20% is observed.

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“…Also, optimum design for ship vibration has been rarely studied. Yang et al [6] worked on optimization of ship stiffened panel, and Kitamura et al [7] carried out the optimal structural design of a ship engine room. They did the optimization considering static and dynamic constraints, and adopted a simplified analysis model to reduce the calculation time during the optimization process.…”

Section: Introductionmentioning

confidence: 99%

Application of nonlinear integer programming for vibration reduction optimum design of ship structure

et al. 2009

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This paper presents a hybrid optimization algorithm which combines an external call type optimization method and a general stochastic iterative algorithm for the nonlinear integer programming with genetic algorithm (GA). GA can rapidly search the approximate global optimum under a complicated design environment such as a ship structure. Meanwhile it can handle optimization problems involving discrete design variables. In addition, there are many parameters that have to be set for GA which greatly affect the accuracy and calculation time of the optimum solution. However, the setting process is difficult for users, and there are no rules to decide these parameters. Therefore, to overcome these difficulties, the optimization of these parameters has been also conducted by using GA itself. It is proven using the trial function that the parameters are optimal. Finally, the verification of validity and usefulness of nonlinear integer programming is performed by applying this method to the compass deck of a ship where the vibration problem is frequently occurs.

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

Cited by 13 publications

References 10 publications

Ship Hull Structural Multiobjective Optimization by Evolutionary Algorithm

Ship Hull Structural Multiobjective Optimization by Evolutionary Algorithm

Design optimization of small fishing vessel structures: A case study

Application of nonlinear integer programming for vibration reduction optimum design of ship structure

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