{"title":"基于改进鱼形搜索算法的机弹协同航路规划","authors":"Tao Sun, Xiaofang Xie, Yong-qin Sun, Song-yang Li","doi":"10.1109/JCAI.2009.73","DOIUrl":null,"url":null,"abstract":"An improved Fish-Search algorithm was proposed for airplane route planning of a class of Plane-Missile cooperation. The mathematical description of this class of cooperation was introduced. Comprehensively considered such key factors of the cooperation as inter-visibility, threat, maximum distance and relative orientation, the constraint conditions and evaluation index were constructed. According to the characteristics of the problem, the Fish-Search algorithm was used to solve the problem, and was improved by introducing a ta-boo bulletin board and the survival mechanism. As is shown in the comparison of the simulation results of the original and the improved algorithm, the convergence rate was improved.","PeriodicalId":154425,"journal":{"name":"2009 International Joint Conference on Artificial Intelligence","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Airplane Route Planning for Plane-Missile Cooperation Using Improved Fish-Search Algorithm\",\"authors\":\"Tao Sun, Xiaofang Xie, Yong-qin Sun, Song-yang Li\",\"doi\":\"10.1109/JCAI.2009.73\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improved Fish-Search algorithm was proposed for airplane route planning of a class of Plane-Missile cooperation. The mathematical description of this class of cooperation was introduced. Comprehensively considered such key factors of the cooperation as inter-visibility, threat, maximum distance and relative orientation, the constraint conditions and evaluation index were constructed. According to the characteristics of the problem, the Fish-Search algorithm was used to solve the problem, and was improved by introducing a ta-boo bulletin board and the survival mechanism. As is shown in the comparison of the simulation results of the original and the improved algorithm, the convergence rate was improved.\",\"PeriodicalId\":154425,\"journal\":{\"name\":\"2009 International Joint Conference on Artificial Intelligence\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Joint Conference on Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCAI.2009.73\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Joint Conference on Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCAI.2009.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Airplane Route Planning for Plane-Missile Cooperation Using Improved Fish-Search Algorithm
An improved Fish-Search algorithm was proposed for airplane route planning of a class of Plane-Missile cooperation. The mathematical description of this class of cooperation was introduced. Comprehensively considered such key factors of the cooperation as inter-visibility, threat, maximum distance and relative orientation, the constraint conditions and evaluation index were constructed. According to the characteristics of the problem, the Fish-Search algorithm was used to solve the problem, and was improved by introducing a ta-boo bulletin board and the survival mechanism. As is shown in the comparison of the simulation results of the original and the improved algorithm, the convergence rate was improved.