Discrete Optimization of Ship Structures with Genetic Algorithms

Nobukawa, Hisashi; Zhang, Guoqiang

doi:10.2534/jjasnaoe1968.1996.293

Cited by 12 publications

(4 citation statements)

References 3 publications

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“…Optimization of conditions in order to obtain optimum value is not within the confines of this discussion. Accordingly, the conditions are established by referring to a previous thesis [2], [3], [4], [5] Furthermore, we examined its application in structural optimization, combining our analytical results and genetic algorithms. Our conclusions are summarized as follows :…”

Section: Calculation Modelmentioning

confidence: 99%

Evaluation of Strength for Double Hull Structure in Initial Hull Planning and Optimization of Hull Weight with Genetic Algorithms

Katoh¹,

Furuno³

et al. 1998

J. SNAJ, Nihon zousen gakkai ronbunshu

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Section: Calculation Modelmentioning

confidence: 99%

Evaluation of Strength for Double Hull Structure in Initial Hull Planning and Optimization of Hull Weight with Genetic Algorithms

Katoh¹,

Furuno³

et al. 1998

J. SNAJ, Nihon zousen gakkai ronbunshu

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“…The optimal design problem can be defined as : ( 1 ) ( 2 ) where Amax is the maximum bending stress in a structural member and ap is the allowable bending stress.…”

Section: Objective Function and Design Constraintsmentioning

confidence: 99%

Discrete Optimization of Ship Structures from the Viewpoint of Practical Design

Zhang

Nobukawa

Yang

1997

J. SNAJ, Nihon zousen gakkai ronbunshu

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SummaryIn practical design of ship structures, it is obvious that some structural elements, for instance, longitudinals, must be chosen from a given set of standard discrete values being available commercially. Furthermore, some integer parameters such as the number of transverse web frames in the midship segment should be considered as the design variables to be optimized. In view of those facts, we investigate especially how to deal with the above kinds of discrete design variables in this paper. A cargo ship with large hatch opening is taken as the numerical example. The structural construction cost of hold length between two transverse bulkheads is chosen as the objective function to be minimized by genetic algorithms. Besides the conventional variable design parameters, some particular parameters such as the serial number of standard shaped steel for longitudinals and for transverse frames, the number of longitudinals in a given length, the number of transverse web frames in the midship segment, etc., are also selected as the design variables from the viewpoint of practical design. For each design variable, we describe it by a specific length binary string with a corresponding relationship to its available discrete values. Through the numerical analyses, it shows that the present method is a simple yet efficient method to deal with the discrete optimization of ship structures. The search efficiency of some genetic strategies such as the elitist preserving selection, the multi-point crossover and the uniform crossover is also investigated in this paper.

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“…In shipbuilding evolutionary and genetic algorithms are applied to solve various tasks, such as optimization of ship parameters, optimization of ship structure, etc. So, for example, in [15,20,25,27] application of a genetic algorithm for optimization of hull design with the aim to minimize the total weight is described. In paper [14] the genetic algorithm is applied for general arrangement design, in [2,3,5,11,24,29] for optimization of ship parameters, in [4] for characterization of Ro-Ro ships, and in [9,12,16,28] -for ship hull form optimization.…”

Section: Introduction / Uvodmentioning

confidence: 99%

Primjena genetičkog algoritma u početnim etapama nacrta broda

2018

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The main tasks for which the genetic algorithm is currently applied in shipbuilding are shown. The possibility of applying the genetic algorithm for determining the optimal characteristics of ships at the initial stages of design is considered. The formulation of the problem of parametric optimization for the initial stages of design is given. The features of such a problem and possible approaches to its solution are considered. Using the example of the problem of parametric optimization of small waterplane area twin hull ships, it is shown that the traditional methods of non-linear programming are not very effective. It is shown that one of the possible options for increasing the efficiency of searching for the optimal solution is the application of genetic algorithms. The mathematical bases of GA are considered and the scheme for finding the optimal solution using this method is described. The examples of test functions show the effectiveness of the genetic algorithm in comparison with traditional optimization methods. The results of solving the problem of parametric optimization of high-speed SWATH passenger ships are presented. Sažetak Prikazane su glavne zadaće genetičkih algoritama i njihove primjene u brodogradnji. Razmatra se mogućnost primjene genetičkog algoritma za određivanje optimalnih karakteristika brodova u prvim etapama nacrta broda. Daje se formulacija problema parametrijske optimizacije za početne etape nacrta broda. Promatraju se značajke takvoga problema i mogući pristupi rješenju. Koristeći primjerak problema parametrijske optimizacije maloga broda SWATH, prikazuje se da su tradicionalne metode nelinearnoga programiranja nedjelotvorne. Navodi se da je jedna od mogućih opcija za povećanje djelotvornosti traženja optimalnih rješenja primjena genetičkih algoritama. Promatra se matematička osnova GA i opisuje se shema za pronalaženje optimalnoga rješenja korištenjem ove metode. Primjerci funkcija testa pokazuju djelotvornost genetičkog algoritma u usporedbi s tradicionalnim metodama optimizacije. Predočavaju se rezultati rješavanja problema parametrijske optimizacije SWATH putničkoga broda velikih brzina. KEY WORDS optimization genetic algorithm test function nonlinear programming SWATH KLJUČNE RIJEČI optimizacija genetički algoritmi funkcija testa nelinearno programiranje SWATH

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Discrete Optimization of Ship Structures with Genetic Algorithms

Cited by 12 publications

References 3 publications

Evaluation of Strength for Double Hull Structure in Initial Hull Planning and Optimization of Hull Weight with Genetic Algorithms

Evaluation of Strength for Double Hull Structure in Initial Hull Planning and Optimization of Hull Weight with Genetic Algorithms

Discrete Optimization of Ship Structures from the Viewpoint of Practical Design

Primjena genetičkog algoritma u početnim etapama nacrta broda

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