JOURNAL ARTICLE

A genetic algorithm for macro cell placement

H. Esbensen

Year: 1992 Journal:   European Design Automation Conference Pages: 52-57

Abstract

A new genetic algorithm for the macro cell placement problem is presented. The algorithm is based on a generalization of the two-dimensional bin packing problem. The genetic encoding of a macro cell placement and the corresponding genetic operators are described. The algorithm has been tested on MCNC benchmarks and the quality of the produced placements is comparable to the best published results. >

Keywords:
Encoding (memory) Genetic algorithm Macro Generalization Computer science Algorithm Bin packing problem Mathematical optimization Mathematics Artificial intelligence Bin Machine learning Programming language

Metrics

31
Cited By
2.22
FWCI (Field Weighted Citation Impact)
13
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Optimization and Packing Problems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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