{"title":"最优解的生物启发搜索理论及其在问题导向知识处理中的应用","authors":"S. Rodzin, L. Rodzina","doi":"10.1109/ICAICT.2014.7035930","DOIUrl":null,"url":null,"abstract":"The article describes the developed main elements of the general theory of bioinspired search for optimal solutions. Original biomemetic algorithms combined the following components: local search, cooperation and competition, are also presented here. Experiments with a number of NP-hard optimization problems have shown that usage of developed theory allows to solve these problems more quickly, reliably and accurately.","PeriodicalId":103329,"journal":{"name":"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Theory of bioinspired search for optimal solutions and its application for the processing of problem-oriented knowledge\",\"authors\":\"S. Rodzin, L. Rodzina\",\"doi\":\"10.1109/ICAICT.2014.7035930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article describes the developed main elements of the general theory of bioinspired search for optimal solutions. Original biomemetic algorithms combined the following components: local search, cooperation and competition, are also presented here. Experiments with a number of NP-hard optimization problems have shown that usage of developed theory allows to solve these problems more quickly, reliably and accurately.\",\"PeriodicalId\":103329,\"journal\":{\"name\":\"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2014.7035930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2014.7035930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Theory of bioinspired search for optimal solutions and its application for the processing of problem-oriented knowledge
The article describes the developed main elements of the general theory of bioinspired search for optimal solutions. Original biomemetic algorithms combined the following components: local search, cooperation and competition, are also presented here. Experiments with a number of NP-hard optimization problems have shown that usage of developed theory allows to solve these problems more quickly, reliably and accurately.
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