Title :
Monreale: a new genetic algorithm for the solution of the channel routing problem
Author :
Buttitta, Benedetto ; Orlando, Paolo ; Sorbello, Filippo ; Vassallo, Giorgio
Author_Institution :
CRES Centro per la Ricerca Elettronica in Sicilia, Palermo, Italy
Abstract :
A novel channel router algorithm (Monreale) is implemented which is based on a modified genetic algorithm (GA). The distinctive feature of the algorithm is a well balanced combination of the fast performance characterizing the steepest descent method and of the high level of parallelism and of local minimum trapping avoidance characterizing the GA approach. The Monreale approach, like the traditional GA approach, starts out with a simulation of population evolution of individuals subject to a well defined two set of rules in the presence of rules violations
Keywords :
VLSI; circuit layout CAD; genetic algorithms; minimisation; Monreale; channel router algorithm; genetic algorithm; local minimum trapping avoidance; parallelism; population evolution; rules violations; simulation; steepest descent; Area measurement; Design optimization; Genetic algorithms; Genetic mutations; Nonhomogeneous media; Pins; Polynomials; Q factor; Routing; Very large scale integration;
Conference_Titel :
CompEuro '91. Advanced Computer Technology, Reliable Systems and Applications. 5th Annual European Computer Conference. Proceedings.
Conference_Location :
Bologna
Print_ISBN :
0-8186-2141-9
DOI :
10.1109/CMPEUR.1991.257430