Title :
Neurocomputing for large-scale design automation
Author_Institution :
Coll. of Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
The author and his associates have been working on creating novel design theories and computational models with two broad objectives: automation and optimization. The paper is a summary of research done by the author and his associates recently. Novel neurocomputing algorithms are presented for large scale design optimization. This research demonstrates how a new level is achieved in design automation through the ingenious use and integration of a novel computational paradigm, mathematical optimization, and new high performance computer architecture
Keywords :
design engineering; neural nets; optimisation; computational models; high performance computer architecture; large scale design automation; large scale design optimization; mathematical optimization; neurocomputing algorithms; novel design theories; Computer networks; Design automation; Design optimization; Large-scale systems; Lyapunov method; Neural networks; Shape; Steel; Transmission line matrix methods; Variable speed drives;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499491