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Power balance and apportionment algorithms for the United States Congress
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Source Journal of Experimental Algorithmics (JEA) archive
Volume 3 ,  (1998) table of contents
Article No. 1  
Year of Publication: 1998
ISSN:1084-6654
Authors
Lane A. Hemaspaandra  Univ. of Rochester
Kulathur S. Rajasethupathy  SUNY-Brockport
Prasanna Sethupathy  Stanford Univ.
Marius Zimand  Georgia Southwestern State Univ.
Publisher
ACM  New York, NY, USA
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APPENDICES and SUPPLEMENTS
The software suite accompanying the article; this is a small Unix tar file, which includes the source code, a Makefile, and the test files used in the article.


ABSTRACT

We measure the performance, in the task of apportioning the Congress of the United States, of an algorithm combining a heuristic-driven (simulated annealing) search with an exact-computation dynamic programming evaluation of the apportionments visited in the search. We compare this with the actual algorithm currently used in the United States to apportion Congress, and with a number of other algorithms that have been proposed. We conclude that on every set of census data in this country's history, the heuristic-driven apportionment provably yields far fairer apportionments than those of any of the other algorithm considered, including the algorithm currently used by the United States for Congressional apportionment.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Lane A. Hemaspaandra: colleagues
Kulathur S. Rajasethupathy: colleagues
Prasanna Sethupathy: colleagues
Marius Zimand: colleagues