Salleh, Shaharuddin and Sanugi, Bahrom and Jamaluddin, Hishamuddin and Olariu, Stephan and Zomaya, Albert Y. (2002) Enhanced simulated annealing technique for the singlerow routing problem. Journal of Supercomputing, 21 (3). pp. 285302. ISSN 15730484

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Official URL: http://dx.doi.org/10.1023/A:1014160411818
Abstract
This paper presents ESSR (Enhanced Simulated annealing for Singlerow Routing) model for solving the singlerow routing problem. The main objective in this problem is to produce a realization that minimizes both the street congestion and the number of doglegs. Simulated annealing (SA) is a stochastic, hillclimbing and gradientdescent technique based on the statistical properties of particles undergoing thermal annealing. By performing slow cooling, the nets in the singlerow routing problem align themselves according to a configuration with the lowest energy. The model has been known to produce reasonably good solutions for many NPcomplete optimization problems, such as the singlerow routing problem. In ESSR, our strategy is to minimize both the street congestion and the number of interstreet crossings (doglegs) by expressing a single energy function as their collective properties. This objective is achieved by representing the energy as the absolute sum of the heights of the net segments. To speed up convergence, we pivot the street congestion value while having the energy drops directly proportional to the number of doglegs. This action has the effect of minimizing the number of doglegs as the energy stabilizes. Our simulation work on ESSR produces optimal results in most cases for both the street congestion and the number of doglegs. Our experimental results compare well against results obtained from our earlier model (SRR7) and two other methods reported in the literature.
Item Type:  Article 

Uncontrolled Keywords:  single row routing, simulated annealing, efficient algorithms 
Subjects:  Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics 
Divisions:  Science 
ID Code:  88 
Deposited By:  Noor Effendy Hamzah 
Deposited On:  05 Feb 2007 03:38 
Last Modified:  01 Jun 2010 02:40 
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