{"title":"元启发式设计模式:交互式解决方案表示","authors":"M. Shackelford, C. Simons","doi":"10.1145/2598394.2609849","DOIUrl":null,"url":null,"abstract":"1. PROBLEM STATEMENT In interactive metaheuristic search, the human helps to steer the trajectory of search by providing qualitative evaluations of solution individuals in the population. Given that much metaheuristic search is typically population-based, it is challenging to design the presentation of solutions such that the human can provide effective qualitative evaluation [1]. Naively presenting each individual in a large population at each generation causes evaluation fatigue and a subsequent non-linearity of user focus making search trajectory inconsistent and ineffective [2].","PeriodicalId":298232,"journal":{"name":"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Metaheuristic design pattern: interactive solution presentation\",\"authors\":\"M. Shackelford, C. Simons\",\"doi\":\"10.1145/2598394.2609849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"1. PROBLEM STATEMENT In interactive metaheuristic search, the human helps to steer the trajectory of search by providing qualitative evaluations of solution individuals in the population. Given that much metaheuristic search is typically population-based, it is challenging to design the presentation of solutions such that the human can provide effective qualitative evaluation [1]. Naively presenting each individual in a large population at each generation causes evaluation fatigue and a subsequent non-linearity of user focus making search trajectory inconsistent and ineffective [2].\",\"PeriodicalId\":298232,\"journal\":{\"name\":\"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2598394.2609849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2598394.2609849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
1. PROBLEM STATEMENT In interactive metaheuristic search, the human helps to steer the trajectory of search by providing qualitative evaluations of solution individuals in the population. Given that much metaheuristic search is typically population-based, it is challenging to design the presentation of solutions such that the human can provide effective qualitative evaluation [1]. Naively presenting each individual in a large population at each generation causes evaluation fatigue and a subsequent non-linearity of user focus making search trajectory inconsistent and ineffective [2].