This paper reports on the application of a real number micro- GA (µGA) concept to the shape optimisation of fully stressed fixed grid plate systems. The thickness of each finite element is allowed to change between predefined limits so that excess material is gradually removed from low stressed areas whilst more highly stressed zones attract additional material. Improved evolutionary operators have been developed to assist the micro-GA in a more efficient search for optimum shapes. Various techniques for a fast re-analysis of the fine mesh systems have been explored to improve the speed of redesign. A problem-domain specific operator that uses the optimum uniform thickness as an elite member of the initial population has been developed, and its performance is discussed when compared to the traditional approach of generating a completely random initial population. A virtual reality viewer is being developed, allowing the user to immerse in the world of the evolutionary shape formation from the initial topology to the final optimum shape.

The algorithm is implemented using an object orientated visual programming language, offering facilities for continual monitoring, assessing and changing of the current state of the micro-GA control parameters.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £52 +P&P)