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A Heuristic Approach for VLSI Floorplanning

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IJCA Proceedings on International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
© 2013 by IJCA Journal
ICIIIOES - Number 13
Year of Publication: 2013
Authors:
Rajalakshmi. P
Senojjoseph

Rajalakshmi. P and Senojjoseph. Article: A Heuristic Approach for VLSI Floorplanning. IJCA Proceedings on International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences ICIIIOES(13):1-6, December 2013. Full text available. BibTeX

@article{key:article,
	author = {Rajalakshmi. P and Senojjoseph},
	title = {Article: A Heuristic Approach for VLSI Floorplanning},
	journal = {IJCA Proceedings on International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences},
	year = {2013},
	volume = {ICIIIOES},
	number = {13},
	pages = {1-6},
	month = {December},
	note = {Full text available}
}

Abstract

Floorplanning is an essential step in VLSI chip design automation. The main objective of the floorplanning is to find a floorplan such that the cost is minimized. This is achieved by minimizing the chip area and interconnection cost. It determines the performance, size, yield and reliability of VLSI chips. We propose a Memetic Algorithm (MA) for non-slicing and hard module VLSI floorplanning problem. This MA is a hybrid genetic algorithm that uses effective genetic search method to explore the search space and an efficient local search method to exploit information in the search region. The exploration and exploitation are balanced by threshold bias search strategy. MA works better than the existing algorithms and is efficient, faster and cost effective algorithm. A better floorplan with minimal chip area and interconnection cost will be obtained using the MA for non-slicing and hard module VLSI floorplanning problem. MA is mainly used to produce optimal or near optimal solution. The experimental results are analyzed to check the performance of MA.

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