{"type":"ScholarlyArticle","title":"A Hybrid Genetic Algorithm for Classification","authors":[{"name":"James D. Kelly Jr.","slug":"james-d-kelly-jr","given":"James D. Kelly","family":"Jr.","affiliation":""},{"name":"Lawrence Davis","slug":"lawrence-davis","given":"Lawrence","family":"Davis","affiliation":""}],"abstract":"In this paper we describe a method for hybridizing a genetic algorithm and a k nearest neighbors classification algorithm. We use the genetic algorithm and a training data set to learn real-valued weights associated with individual attributes in the data set. We use the k nearest neighbors algorithm to classify new data records based on their weighted distance from the members of the training set. We applied our hybrid algorithm to three test cases. Oassification results obtained with the hybrid algorithm exceed the perfonnance of the k nearest neighbors algorithm in all three cases.","doi":null,"url":"https://ijcai.org/proceedings/1991/94","pdf":"https://ijcai.org/proceedings/1991/0094.pdf","markdown":"https://ijcai.org/proceedings/1991/94.md","bibtex":"https://ijcai.org/proceedings/1991/bibtex/94","volume":{"slug":"1991","title":"Proceedings of the Twelfth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1991","url":"https://ijcai.org/proceedings/1991/","year":1991,"location":"Sydney, New South Wales, Australia","dates":"24-30 August 1991","editors":"John Mylopoulos and Ray Reiter","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Learning Be Knowledge Acquisition","track":"Learning Be Knowledge Acquisition","number":94,"pages":{"first":645,"last":649},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}