Xin-She Yang, S. Deb, S. Fong, Xingshi He, Yuxin Zhao
{"title":"群体智能:今天和明天","authors":"Xin-She Yang, S. Deb, S. Fong, Xingshi He, Yuxin Zhao","doi":"10.1109/ISCMI.2016.34","DOIUrl":null,"url":null,"abstract":"Swarm intelligence (SI) and SI-based algorithms have become popular and useful in almost all areas of sciences and engineering. Significant developments have been made in recent years. This paper provides a short but timely analysis about SI algorithms and their links with self-organization. Emphasis has been on the present developments by analyzing the main characteristics and properties of algorithms, while future directions are pointed out by highlighting key challenges and their implications.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Swarm Intelligence: Today and Tomorrow\",\"authors\":\"Xin-She Yang, S. Deb, S. Fong, Xingshi He, Yuxin Zhao\",\"doi\":\"10.1109/ISCMI.2016.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Swarm intelligence (SI) and SI-based algorithms have become popular and useful in almost all areas of sciences and engineering. Significant developments have been made in recent years. This paper provides a short but timely analysis about SI algorithms and their links with self-organization. Emphasis has been on the present developments by analyzing the main characteristics and properties of algorithms, while future directions are pointed out by highlighting key challenges and their implications.\",\"PeriodicalId\":417057,\"journal\":{\"name\":\"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCMI.2016.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCMI.2016.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Swarm intelligence (SI) and SI-based algorithms have become popular and useful in almost all areas of sciences and engineering. Significant developments have been made in recent years. This paper provides a short but timely analysis about SI algorithms and their links with self-organization. Emphasis has been on the present developments by analyzing the main characteristics and properties of algorithms, while future directions are pointed out by highlighting key challenges and their implications.