J. Falqueto, J. Barreto, Paulo Sergio da Silva Borges
{"title":"在使用进化计算中扩大视角","authors":"J. Falqueto, J. Barreto, Paulo Sergio da Silva Borges","doi":"10.1109/BIBE.2000.889602","DOIUrl":null,"url":null,"abstract":"Initially, different areas of research in computer science based on models inspired by nature are approached. The area entitled \"evolutionary computation\" is discussed in a general view. After this, emphasis is placed on the human tendency to copy and to find answers to new problems by adopting similar solutions from other equivalent issues that have already been resolved by nature. Finally, we demonstrate that, in the case of evolutionary computation, even if success is achieved in many cases, most of what nature has attained was either severely simplified or truncated in the simulation process. Also, in several cases, a more detailed and more faithful copy could have yielded better results for already-existing systems or for new ones.","PeriodicalId":196846,"journal":{"name":"Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Amplification of perspectives in the use of evolutionary computation\",\"authors\":\"J. Falqueto, J. Barreto, Paulo Sergio da Silva Borges\",\"doi\":\"10.1109/BIBE.2000.889602\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Initially, different areas of research in computer science based on models inspired by nature are approached. The area entitled \\\"evolutionary computation\\\" is discussed in a general view. After this, emphasis is placed on the human tendency to copy and to find answers to new problems by adopting similar solutions from other equivalent issues that have already been resolved by nature. Finally, we demonstrate that, in the case of evolutionary computation, even if success is achieved in many cases, most of what nature has attained was either severely simplified or truncated in the simulation process. Also, in several cases, a more detailed and more faithful copy could have yielded better results for already-existing systems or for new ones.\",\"PeriodicalId\":196846,\"journal\":{\"name\":\"Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBE.2000.889602\",\"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 IEEE International Symposium on Bio-Informatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2000.889602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Amplification of perspectives in the use of evolutionary computation
Initially, different areas of research in computer science based on models inspired by nature are approached. The area entitled "evolutionary computation" is discussed in a general view. After this, emphasis is placed on the human tendency to copy and to find answers to new problems by adopting similar solutions from other equivalent issues that have already been resolved by nature. Finally, we demonstrate that, in the case of evolutionary computation, even if success is achieved in many cases, most of what nature has attained was either severely simplified or truncated in the simulation process. Also, in several cases, a more detailed and more faithful copy could have yielded better results for already-existing systems or for new ones.