Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Engineering and Mathematics
RAS ID
2509
Abstract
Layer assignment is an important post-layout optimization technique in very large scale integrated circuit (VLSI) layout automation. It re-assigns wire segments in a routing solution to appropriate layers to achieve certain optimization objectives. The paper focuses on investigating the layer assignment problem with application to via minimization, which is known to be NP-complete. A knowledge based genetic algorithm for the layer assignment problem is proposed, with the aim of utilizing domain specific knowledge to speed up the process of evolution and to improve the quality of solutions. Experimental results show that this knowledge based genetic algorithm can consistently produce the same or better results than a heuristic algorithm and a traditional genetic algorithm
DOI
10.1109/ACSC.2001.906641
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Tang, M., Eshraghian, K. , & Habibi, D. (2001). Knowledge-based genetic algorithm for layer assignment. Proceedings of 2001 Australian Computer Science Conference (pp. 184-190). Gold Coast, QLD. IEEE. Available here
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