Title :
Utilising knowledge for optimum mesh design
Author :
Sharif, Amir M. ; Barrett, Anthony N.
Author_Institution :
Dept. of Inf. Syst. & Comput., Brunel Univ., Uxbridge, UK
Abstract :
The encoding of a priori knowledge for the optimum design of finite element meshes is described via the use of a seeded population of individuals within a genetic algorithm. A discussion of the search aspects reveals requirements for controlling aspects of the procedure which may help to discover fitter individuals
Keywords :
genetic algorithms; a priori knowledge encoding; fitter individual discovery; genetic algorithm; knowledge utilisation; optimum finite element mesh design; search aspects; seeded population;
Conference_Titel :
Knowledge Discovery and Data Mining (Digest No. 1998/310), IEE Colloquium on
Conference_Location :
London
DOI :
10.1049/ic:19980547
