{"title":"进化搜索中特征空间的多样化探索","authors":"T. Hendtlass, H. Copland","doi":"10.1109/ICONIP.1999.845632","DOIUrl":null,"url":null,"abstract":"Evolutionary algorithms require excellent search capabilities in order to find global minima, particularly in complex feature spaces. A means of enhancing search capabilities based upon a distributed genetic-style encoding of solution has been shown to be advantageous. Such a representation requires the use of varying gene lengths. The effects of variable gene lengths are explored in detail.","PeriodicalId":237855,"journal":{"name":"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)","volume":"84 16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diversifying exploration of feature spaces in evolutionary searches\",\"authors\":\"T. Hendtlass, H. Copland\",\"doi\":\"10.1109/ICONIP.1999.845632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evolutionary algorithms require excellent search capabilities in order to find global minima, particularly in complex feature spaces. A means of enhancing search capabilities based upon a distributed genetic-style encoding of solution has been shown to be advantageous. Such a representation requires the use of varying gene lengths. The effects of variable gene lengths are explored in detail.\",\"PeriodicalId\":237855,\"journal\":{\"name\":\"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)\",\"volume\":\"84 16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONIP.1999.845632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIP.1999.845632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diversifying exploration of feature spaces in evolutionary searches
Evolutionary algorithms require excellent search capabilities in order to find global minima, particularly in complex feature spaces. A means of enhancing search capabilities based upon a distributed genetic-style encoding of solution has been shown to be advantageous. Such a representation requires the use of varying gene lengths. The effects of variable gene lengths are explored in detail.
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