{"title":"遗传算法求解旅行商问题","authors":"D'Ann Fuquay, L. D. Whitley","doi":"10.1145/98949.99033","DOIUrl":null,"url":null,"abstract":"A genetic approach (o generating solutions for the traveling salesman problem (TSP) is described and early results of tests are reported using a genetic algo rithm implementation known as GENTfOR which was developed at Colorado Stale University. The imple mentation uses a new, specialized genetic recombina tion operator which incorporates a high degree of nondeterminism and docs not require knowledge of dis tance between cities for recombination. Results reported substantiate the viability of the genetic approach for finding good solutions not only to the TSP but also to a more general class of optimization problems that do not incorporate the notion of weighted edges.","PeriodicalId":409883,"journal":{"name":"ACM-SE 28","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Genetic algorithm solutions for the traveling salesman problem\",\"authors\":\"D'Ann Fuquay, L. D. Whitley\",\"doi\":\"10.1145/98949.99033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A genetic approach (o generating solutions for the traveling salesman problem (TSP) is described and early results of tests are reported using a genetic algo rithm implementation known as GENTfOR which was developed at Colorado Stale University. The imple mentation uses a new, specialized genetic recombina tion operator which incorporates a high degree of nondeterminism and docs not require knowledge of dis tance between cities for recombination. Results reported substantiate the viability of the genetic approach for finding good solutions not only to the TSP but also to a more general class of optimization problems that do not incorporate the notion of weighted edges.\",\"PeriodicalId\":409883,\"journal\":{\"name\":\"ACM-SE 28\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM-SE 28\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/98949.99033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM-SE 28","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/98949.99033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithm solutions for the traveling salesman problem
A genetic approach (o generating solutions for the traveling salesman problem (TSP) is described and early results of tests are reported using a genetic algo rithm implementation known as GENTfOR which was developed at Colorado Stale University. The imple mentation uses a new, specialized genetic recombina tion operator which incorporates a high degree of nondeterminism and docs not require knowledge of dis tance between cities for recombination. Results reported substantiate the viability of the genetic approach for finding good solutions not only to the TSP but also to a more general class of optimization problems that do not incorporate the notion of weighted edges.