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- W2390872063 abstract "In order to handle the multidisciplinary nature and large quantities of data and complex relations of databases encountered in the submersible design,a novel integration of Pareto Genetic Algorithm (PGA),one of the multi-objective optimization methods within the collaborative optimization framework,which remain the main metrics of CO architecture and ability of PGA to seeking non-inferior solution set,is introduced in this paper.Introduction of PGA which is a direct search algorithm to CO can relieve the convergence difficulties in system-level.At the same time,the PGA enables the designer to select the fittest solution among the Pareto optimal set in according with their preference and the nature of the design problem. Some strategies are used,such as regularization of objectives,graded penalized function technique to remove constraints,float code,Pareto rank of population and Pareto set filter of objective in the integration of PGA within CO.The proposed framework is tested by a mathematical example and implemented to conduct the conceptual design of a Human Occupied Vehicle (HOV) that includes four subspace designs: hydrodynamics,structure,propulsion,weight and volume." @default.
- W2390872063 created "2016-06-24" @default.
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- W2390872063 date "2008-01-01" @default.
- W2390872063 modified "2023-09-25" @default.
- W2390872063 title "Multi-objective collaborative optimization in multidisciplinary design for submersible" @default.
- W2390872063 hasPublicationYear "2008" @default.
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