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 :
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