Sait, Sadiq M. and El-Maleh, Aiman H. and Al-Abaji, RH (2003) Simulated Evolution Algorithm For Multiobjective VLSI Netlist Bi-Partitioning. In: IEEE International Symposium on Circuits and Systems', Bangkok, Thailand.
In this paper, the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. The multi-objecttive version of the problem is addressed in which power disssipation, timing performance, as well as cut set are optimized while balance is taken as a constraint. Fuzzy rules are used in order to design the overalll multi-objective cost function that integrates the costs of three objectives in a single overall cost value. Fuzzy goodnesss functions are designed for delay and power, and proved efficient. A series of experiments are performed to evaluate the efficiency of the algorithm. ISCAS-85/89 benchmark circuits are used and experimental results are reported and compared to earliar algorithms like GA and TS.
|Item Type:||Conference or Workshop Item (Other)|
|Divisions:||College Of Computer Sciences and Engineering > Computer Engineering Dept|
|Creators:||Sait, Sadiq M. and El-Maleh, Aiman H. and Al-Abaji, RH|
|Email:||firstname.lastname@example.org, email@example.com, firstname.lastname@example.org|
|Deposited On:||25 Feb 2008 09:49|
|Last Modified:||12 Apr 2011 13:06|
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