DocumentCode :
2888571
Title :
Linear ordering by stochastic evolution
Author :
Saab, Youssef ; Rao, Vasant
Author_Institution :
Dept. of Comput. Sci., Missouri Univ., Columbia, MO, USA
fYear :
1991
fDate :
4-8 Jan 1991
Firstpage :
130
Lastpage :
135
Abstract :
Linear ordering has applications in standard cells and gate array placement. This paper presents a new approach to linear ordering based on the new stochastic evolution (SE) methodology for solving intractable combinatorial optimization problems. The SE heuristic performs better than Kang´s heuristic and simulated annealing. In many cases, the SE heuristic was significantly better than Kang´s heuristic, and an order of magnitude better than simulated annealing
Keywords :
cellular arrays; circuit layout; logic arrays; network topology; stochastic programming; SE heuristic; gate arrays; intractable combinatorial optimization problems; linear ordering; placement; standard cells; stochastic evolution; Application software; Circuit simulation; Computational modeling; Computer science; Costs; Simulated annealing; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI Design, 1991. Proceedings., Fourth CSI/IEEE International Symposium on
Conference_Location :
New Delhi
Print_ISBN :
0-8186-2125-7
Type :
conf
DOI :
10.1109/ISVD.1991.185105
Filename :
185105
Link To Document :
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