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Hill climbing with reduced search space (logic optimization)

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1 Author(s)
D. Brand ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA

A general optimization algorithm, which in some areas successfully competes with simulated annealing and the Kernighan-Lin algorithm, as well as special heuristics, is presented. It gains speed by taking advantage of the structure of the objective function in order to reduce the search space. Results obtained from the implementation of the algorithm on three problems are presented.<>

Published in:

Computer-Aided Design, 1988. ICCAD-88. Digest of Technical Papers., IEEE International Conference on

Date of Conference:

7-10 Nov. 1988