2011
DOI: 10.5957/jspd.27.4.110031
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Generating More Valid Designs During Design Exploration

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“…Unlike traditional optimisation based design exploration, GDTs explore large design spaces to find a variety of optimal alternatives that give users the ability to choose a design that best fits his/her needs. Literature contains many efforts from researchers in design exploration techniques for preliminary design of naval vessels [7,38,9,10]. However, these techniques are not developed in the context of generative design and therefore, can only explore a limited region of design space to generate single or Pareto designs, which are usually a slight variation of the parent shape.…”
Section: Generative Designmentioning
confidence: 99%
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“…Unlike traditional optimisation based design exploration, GDTs explore large design spaces to find a variety of optimal alternatives that give users the ability to choose a design that best fits his/her needs. Literature contains many efforts from researchers in design exploration techniques for preliminary design of naval vessels [7,38,9,10]. However, these techniques are not developed in the context of generative design and therefore, can only explore a limited region of design space to generate single or Pareto designs, which are usually a slight variation of the parent shape.…”
Section: Generative Designmentioning
confidence: 99%
“…Although, some academic scholars from the maritime field have made a considerable amount of contribution to the modernisation of preliminary ship design techniques, however, their usage in the industry is still limited. Some of the recent efforts to support ship design at the preliminary stage includes the development of attribute-based design techniques [1]; parametric design systems [2]; library-based [3], sketching based [4], interactive optimisation [5] based and three-dimensional packing based [6,7] approaches for exploration of hull form variations; simulation-driven [8] and holistic approach to ship design [9] and machine learning-based ship design method to assist the optimisation towards the optimal solution [10].…”
Section: Introductionmentioning
confidence: 99%