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Conference Paper: Using Interactive Evolutionary Computation (IEC) with validated surrogate fitness functions for redistricting

TitleUsing Interactive Evolutionary Computation (IEC) with validated surrogate fitness functions for redistricting
Authors
Keywordscompactness
districting
evolutionary programming
interactive evolutionary computation
Issue Date2012
Citation
Gecco 12 Proceedings of the 14th International Conference on Genetic and Evolutionary Computation, 2012, p. 1071-1078 How to Cite?
AbstractWe describe a novel use of evolutionary computation to discover good districting plans for the Philadelphia City Council. We were able to discover 116 distinct, high quality, legally valid plans. These constitute a rich resource on which stakeholders may base deliberation. The exercise raised the issue of how to deal with large numbers of plans, especially with the aim of avoiding gerrymandering and promoting fairness. Interactive Evolutionary Computation (IEC) is a natural approach here, if practicable. The paper proposes development of Validated Surrogate Fitness (VSF) functions as a workable and generalizable form of IEC. © 2012 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/366063

 

DC FieldValueLanguage
dc.contributor.authorChou, Christine-
dc.contributor.authorKimbrough, Steven-
dc.contributor.authorSullivan-Fedock, John-
dc.contributor.authorWoodard, C. Jason-
dc.contributor.authorMurphy, Frederic H.-
dc.date.accessioned2025-11-14T07:15:05Z-
dc.date.available2025-11-14T07:15:05Z-
dc.date.issued2012-
dc.identifier.citationGecco 12 Proceedings of the 14th International Conference on Genetic and Evolutionary Computation, 2012, p. 1071-1078-
dc.identifier.urihttp://hdl.handle.net/10722/366063-
dc.description.abstractWe describe a novel use of evolutionary computation to discover good districting plans for the Philadelphia City Council. We were able to discover 116 distinct, high quality, legally valid plans. These constitute a rich resource on which stakeholders may base deliberation. The exercise raised the issue of how to deal with large numbers of plans, especially with the aim of avoiding gerrymandering and promoting fairness. Interactive Evolutionary Computation (IEC) is a natural approach here, if practicable. The paper proposes development of Validated Surrogate Fitness (VSF) functions as a workable and generalizable form of IEC. © 2012 ACM.-
dc.languageeng-
dc.relation.ispartofGecco 12 Proceedings of the 14th International Conference on Genetic and Evolutionary Computation-
dc.subjectcompactness-
dc.subjectdistricting-
dc.subjectevolutionary programming-
dc.subjectinteractive evolutionary computation-
dc.titleUsing Interactive Evolutionary Computation (IEC) with validated surrogate fitness functions for redistricting-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/2330163.2330312-
dc.identifier.scopuseid_2-s2.0-84864688977-
dc.identifier.spage1071-
dc.identifier.epage1078-

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