DocumentCode
2705370
Title
Local search algorithm for the compacted cells area problem
Author
Chia, Dennis Joshua ; Lim, Andrew
Author_Institution
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
fYear
2000
fDate
2000
Firstpage
294
Lastpage
297
Abstract
The minimum area joining of k compacted cells problem is an open problem that is not known whether to be polynomial-time solvable or NP-hard. In this paper we derive a divide-and-conquer approach for determining a lower-bound on the optimal cost of large problems. We also devise a taboo search algorithm whose performance can be measured and evaluated for large cases by using the derived lower bounds. Experimental results suggest that the algorithm performs reasonably well
Keywords
computational complexity; divide and conquer methods; search problems; NP-hard; compacted cells area problem; divide-and-conquer approach; local search algorithm; lower bounds; lower-bound; optimal cost; polynomial-time solvable; taboo search algorithm; Benchmark testing; Computer science; Cost function; Drives; Polynomials; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1082-3409
Print_ISBN
0-7695-0909-6
Type
conf
DOI
10.1109/TAI.2000.889885
Filename
889885
Link To Document