PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis

标题
PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis
作者
关键词
Combinatorial optimization, Evolutionary algorithm, Redistricting, High-performance parallel computing, Heuristics, Spatial optimization
出版物
Swarm and Evolutionary Computation
Volume 30, Issue -, Pages 78-92
出版商
Elsevier BV
发表日期
2016-05-28
DOI
10.1016/j.swevo.2016.04.004

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