M.S. in Engineering
Henry M. Rowan College of Engineering
Genetic algorithms; Structural optimization
This main investigation of this thesis was the integration of the metamorphic development process with a genetic algorithm in order to optimize the metamorphic development process. Since the origin of the metamorphic development process, there has been a need for the user to input parameters in order to coax structural development to obtain an optimum structure. By utilizing the genetic algorithm to manipulate this input information, this new marriage of the metamorphic development process and the genetic algorithm can save time and computation for the user of the program. It was found that the genetic algorithm with the metamorphic development process can obtain an optimized solution for a given structural environment. A second dimension of this thesis, lesser in importance yet still notable, is the use of a non-grid based finite element mesh.
Goren, Keith Daniel Joseph, "Optimization of the metamorphic development process via the genetic algorithm" (2008). Theses and Dissertations. 727.