Multiple criteria design optimisation of RO-RO passenger ferries with consideration of recently proposed probabilistic stability standards

Hutchinson, K; Sen, Pratyush; Buxton, I L; Hills, W

doi:10.1016/s0928-2009(98)80167-4

Cited by 4 publications

(2 citation statements)

References 2 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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“…Not many so far but highly promising results in the field of genetic algorithms use for multiobjective optimization tasks have been obtained lately which includes also some results in the field of ship structures: Okada & Neki [27] and Hutchinson et al [18]. Jang & Shin [20] have also applied the Evolutionary Strategy method for the multi-objective optimization of ship structures.…”

Section: Solving Of Multi-objective Optimization Problem: How Find Sementioning

confidence: 99%