{"title":"混沌遗传模拟退火混合算法","authors":"X. Bai, H.M. Yang, L.T. Li, H.Y. Shu","doi":"10.1109/GSIS.2009.5408146","DOIUrl":null,"url":null,"abstract":"On the basis of analyzing the major advantages and disadvantages of the chaos, genetic and simulated annealing algorithms, the chaos genetic simulated annealing hybrid algorithm is presented according to the complementary advantages strategy. The basic thought is initializing the initial population of genetic algorithm with chaos variables, and then calculating by genetic simulated annealing method, at last adding a disturbance to the chromosomes whose fitness are smaller with the chaos method. The result indicates that the algorithm has strong global searching capability and quick speed on converging to the optimal solution.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"2 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A chaos genetic simulated annealing hybrid algorithm\",\"authors\":\"X. Bai, H.M. Yang, L.T. Li, H.Y. Shu\",\"doi\":\"10.1109/GSIS.2009.5408146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On the basis of analyzing the major advantages and disadvantages of the chaos, genetic and simulated annealing algorithms, the chaos genetic simulated annealing hybrid algorithm is presented according to the complementary advantages strategy. The basic thought is initializing the initial population of genetic algorithm with chaos variables, and then calculating by genetic simulated annealing method, at last adding a disturbance to the chromosomes whose fitness are smaller with the chaos method. The result indicates that the algorithm has strong global searching capability and quick speed on converging to the optimal solution.\",\"PeriodicalId\":294363,\"journal\":{\"name\":\"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)\",\"volume\":\"2 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2009.5408146\",\"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 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2009.5408146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A chaos genetic simulated annealing hybrid algorithm
On the basis of analyzing the major advantages and disadvantages of the chaos, genetic and simulated annealing algorithms, the chaos genetic simulated annealing hybrid algorithm is presented according to the complementary advantages strategy. The basic thought is initializing the initial population of genetic algorithm with chaos variables, and then calculating by genetic simulated annealing method, at last adding a disturbance to the chromosomes whose fitness are smaller with the chaos method. The result indicates that the algorithm has strong global searching capability and quick speed on converging to the optimal solution.