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Bobbin, Jason John Dept. of Soil and Water 2002 http://hdl.handle.net/2440/21735 Includes bibliographical references (p. 185-205) and index. xx, 208 p. : ill. ; 30 cm. This thesis proposes a new self-adaptive, symbiotic model evolution framework SASME. SASME is described generally and then applied to the specific task of evolving rule sets with explicit default hierarchies for learning problems. Experiments are conducted on the SASME framework to establish the efficiency of the self-adaptive mutation scheme when compared to apriori settings of the mutation rate. The self-adaptive scheme is found to perform optimally, removing the trial-and-error experimentation often required to get satisfactory performance from fixed mutation-rate evolutionary systems. Thesis (Ph.D.)--University of Adelaide, Dept. of Soil and Water, 2002? 238105 bytes application/pdf en Self-adaptive evolution of model structures and parameters / by Jason John Bobbin. Thesis This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legalsopen.access