{"title":"一种新的WDM网状网络流量疏导进化算法","authors":"Yishi Han, Zhanbin Ao, Bingkun Xu","doi":"10.1117/12.802136","DOIUrl":null,"url":null,"abstract":"The traffic grooming based on Adaptive Immune Evolutionary Algorithm (AIEA) is proposed. The process of AIEA for traffic grooming problem was also given simply. Computer simulations and comparison with other heuristic algorithms were performed. The results show AIEA has better resource utilization, good convergence rate and global optimization features in WDM Mesh networks. Simulation results show AIEA has better resource utilization, average jumping delay time and good convergence.","PeriodicalId":179447,"journal":{"name":"SPIE/OSA/IEEE Asia Communications and Photonics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new evolutionary algorithm for traffic grooming in WDM mesh network\",\"authors\":\"Yishi Han, Zhanbin Ao, Bingkun Xu\",\"doi\":\"10.1117/12.802136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traffic grooming based on Adaptive Immune Evolutionary Algorithm (AIEA) is proposed. The process of AIEA for traffic grooming problem was also given simply. Computer simulations and comparison with other heuristic algorithms were performed. The results show AIEA has better resource utilization, good convergence rate and global optimization features in WDM Mesh networks. Simulation results show AIEA has better resource utilization, average jumping delay time and good convergence.\",\"PeriodicalId\":179447,\"journal\":{\"name\":\"SPIE/OSA/IEEE Asia Communications and Photonics\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SPIE/OSA/IEEE Asia Communications and Photonics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.802136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPIE/OSA/IEEE Asia Communications and Photonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.802136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new evolutionary algorithm for traffic grooming in WDM mesh network
The traffic grooming based on Adaptive Immune Evolutionary Algorithm (AIEA) is proposed. The process of AIEA for traffic grooming problem was also given simply. Computer simulations and comparison with other heuristic algorithms were performed. The results show AIEA has better resource utilization, good convergence rate and global optimization features in WDM Mesh networks. Simulation results show AIEA has better resource utilization, average jumping delay time and good convergence.
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