{"title":"遗传算法在职业规划环境中的应用:船长","authors":"E. D. Heijer, P. Adriaans","doi":"10.1080/10447319609526156","DOIUrl":null,"url":null,"abstract":"In this article, we present experiences with the Crew Availability Planning and Training System (CAPTAINS). CAPTAINS is a complex planning‐aid system that assists professional career planners. This article describes the learning component of CAPTAINS—the Learning Classifier System (LCS)—which predicts the bids on functions of pilots. We also present experiments with the LCS and their results.","PeriodicalId":208962,"journal":{"name":"Int. J. Hum. Comput. Interact.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"The application of genetic algorithms in a career planning environment: CAPTAINS\",\"authors\":\"E. D. Heijer, P. Adriaans\",\"doi\":\"10.1080/10447319609526156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we present experiences with the Crew Availability Planning and Training System (CAPTAINS). CAPTAINS is a complex planning‐aid system that assists professional career planners. This article describes the learning component of CAPTAINS—the Learning Classifier System (LCS)—which predicts the bids on functions of pilots. We also present experiments with the LCS and their results.\",\"PeriodicalId\":208962,\"journal\":{\"name\":\"Int. J. Hum. Comput. Interact.\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Hum. Comput. Interact.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/10447319609526156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Hum. Comput. Interact.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10447319609526156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The application of genetic algorithms in a career planning environment: CAPTAINS
In this article, we present experiences with the Crew Availability Planning and Training System (CAPTAINS). CAPTAINS is a complex planning‐aid system that assists professional career planners. This article describes the learning component of CAPTAINS—the Learning Classifier System (LCS)—which predicts the bids on functions of pilots. We also present experiments with the LCS and their results.