Directed Multiple Objective Search of Design Spaces Using Genetic Algorithms and Neural Networks
نویسندگان
چکیده
When performing search using Multiple Objective Genetic Algorithms (MOGAs) the aim is to maintain a diverse range of solutions whilst trying to converge these solutions onto the trade-off surface. In this paper a method to focus a MOGA search onto specific areas of this trade-off surface is investigated. Using interaction with a designer or decision maker his general preferences can be captured during search and modelled using an Artificial Neural Network (ANN). This allows the designer to direct the search of the design space into the regions of most benefit.
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