{"title":"基于多目标进化算法的智能分区设计","authors":"P. Radtke, Luiz Oliveira, R. Sabourin, Tony Wong","doi":"10.1109/ICDAR.2003.1227777","DOIUrl":null,"url":null,"abstract":"This paper discusses the use of multi objective evolutionaryalgorithms applied to the engineering of zoning forhandwriten recognition. Usually a task fulfilled by an humanexpert, zoning design relies on specific domain knowledgeand a trial and error process to select an adequatedesign. Our proposed approach to automatically define thezone design was tested and was able to define zoning strategiesthat performed better than our former strategy definedmanually.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Intelligent zoning design using multi-objective evolutionary algorithms\",\"authors\":\"P. Radtke, Luiz Oliveira, R. Sabourin, Tony Wong\",\"doi\":\"10.1109/ICDAR.2003.1227777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the use of multi objective evolutionaryalgorithms applied to the engineering of zoning forhandwriten recognition. Usually a task fulfilled by an humanexpert, zoning design relies on specific domain knowledgeand a trial and error process to select an adequatedesign. Our proposed approach to automatically define thezone design was tested and was able to define zoning strategiesthat performed better than our former strategy definedmanually.\",\"PeriodicalId\":249193,\"journal\":{\"name\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2003.1227777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2003.1227777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent zoning design using multi-objective evolutionary algorithms
This paper discusses the use of multi objective evolutionaryalgorithms applied to the engineering of zoning forhandwriten recognition. Usually a task fulfilled by an humanexpert, zoning design relies on specific domain knowledgeand a trial and error process to select an adequatedesign. Our proposed approach to automatically define thezone design was tested and was able to define zoning strategiesthat performed better than our former strategy definedmanually.
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