Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A model is presented to characterize the relationship beten the best solution (incumbent) found by an iterative algorithm (simulated annealing) and the time spent in achieving it. The target application has been chosen to be the placement of cells on a VLSI chip. The model is used to achieve a tradeoff beten solution quality and time spent. This gives an idea of the time at which the iterative algorithm should be terminated when the marginal gain in solution quality is smaller than the marginal increase in cost (or time) spent. Nonlinear regression analysis is used to predict the decrease in time with respect to improvement in solution quality. Experimental results on benchmark circuits are presented to show the errors of run-time prediction compared to a static prediction. >
['Srilata Raman', 'Benjamin W. Wah']
I am writing a research paper on a idea Quality-time tradeoffs in simulated annealing for VLSI placement
[{"from": "human", "value": "I am writing a research paper on a idea Quality-time tradeoffs in simulated annealing for VLSI placement"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A model is presented to characterize the relationship beten the best solution (incumbent) found by an iterative algorithm (simulated annealing) and the time spent in achieving it. The target application has been chosen to be the placement of cells on a VLSI chip. The model is used to achieve a tradeoff beten solution quality and time spent. This gives an idea of the time at which the iterative algorithm should be terminated when the marginal gain in solution quality is smaller than the marginal increase in cost (or time) spent. Nonlinear regression analysis is used to predict the decrease in time with respect to improvement in solution quality. Experimental results on benchmark circuits are presented to show the errors of run-time prediction compared to a static prediction. >"}]