The ability of engineers to produce optimal designs has been severely limited by the techniques available for design optimization. Typically, much of the development effort has focused on simulation programs to evaluate design parameters, that is, analysis. One problem currently being addressed is how to use the information provided by the simulations in the iterative process of searching the parameter space for better designs. Because design spaces are combinatorially explosive and the time in which to develop a new design is limited, relatively few design points can be evaluated. Furthermore, since simulation programs rather than explicit analytic functional forms are typically used to model the design, the engineer's understanding of the parameter search space is more and more limited. This lack of knowledge is the reason that we need automated procedures for iterative design. Therefore, a nonlinear search algorithm for optimzing constrained design of ship structures is presented. The decision variables can be continuous or discrete and the constraints can be homogeneous or inequality nonlinear functions of those variables. The algorithm does not use gradients; therefore, it can work with non-systematized functions such as tables or another class of design routine. It was tested in the structural design of a Patrol Boat and has proved to be a powerful tool decreasing the time expended in preliminary design when it is done by the conventional spiral approach.
A mixed continuous and discrete nonlinear constrained algorithm for optimizing ship hull structural design
Ocean Engineering ; 25 , 9 ; 793-811
1998
19 Seiten, 11 Bilder, 7 Tabellen, 11 Quellen
Aufsatz (Zeitschrift)
Englisch
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