Title :
An artificial neural network guided parallel genetic approach to the routing problem for field programmable gate arrays
Author :
Muthukaruppan, A. ; Suresh, S. ; Rao, B.S.N. ; Kamakoti, K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Madras, Chennai, India
Abstract :
This paper introduces the concept of "artificially intelligent parallel genetic algorithms", in the form of an artificial neural network, to provide a solution for the routing problem for FPGAs.
Keywords :
circuit layout CAD; field programmable gate arrays; genetic algorithms; network routing; neural nets; artificial neural network guided approach; field programmable gate arrays; fitness function; mating process; parallel genetic algorithms; parallel genetic approach; random population; routing problem; Artificial neural networks; Delay; Digital circuits; Field programmable gate arrays; Genetics; Laboratories; Logic arrays; Routing; Switches; Very large scale integration;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1201975
