{"title":"结合进化计算与神经网络","authors":"E. Vonk, L. Jain, L. Veelenturf, R. Hibbs","doi":"10.1109/ETD.1995.403480","DOIUrl":null,"url":null,"abstract":"There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques.<<ETX>>","PeriodicalId":302763,"journal":{"name":"Proceedings Electronic Technology Directions to the Year 2000","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Integrating evolutionary computation with neural networks\",\"authors\":\"E. Vonk, L. Jain, L. Veelenturf, R. Hibbs\",\"doi\":\"10.1109/ETD.1995.403480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques.<<ETX>>\",\"PeriodicalId\":302763,\"journal\":{\"name\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETD.1995.403480\",\"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 Electronic Technology Directions to the Year 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETD.1995.403480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating evolutionary computation with neural networks
There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques.<>