{"title":"两种新的选择方法及其对遗传算法求解供应链和旅行商问题性能的影响","authors":"M. Rafsanjani, S. Eskandari","doi":"10.1504/ijbic.2023.10054864","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"18 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two new selection methods and their effects on the performance of genetic algorithm in solving supply chain and traveling salesman problems\",\"authors\":\"M. Rafsanjani, S. Eskandari\",\"doi\":\"10.1504/ijbic.2023.10054864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49059,\"journal\":{\"name\":\"International Journal of Bio-Inspired Computation\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Bio-Inspired Computation\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1504/ijbic.2023.10054864\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Bio-Inspired Computation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1504/ijbic.2023.10054864","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍:
IJBIC discusses the new bio-inspired computation methodologies derived from the animal and plant world, such as new algorithms mimicking the wolf schooling, the plant survival process, etc.
Topics covered include:
-New bio-inspired methodologies coming from
creatures living in nature
artificial society-
physical/chemical phenomena-
New bio-inspired methodology analysis tools, e.g. rough sets, stochastic processes-
Brain-inspired methods: models and algorithms-
Bio-inspired computation with big data: algorithms and structures-
Applications associated with bio-inspired methodologies, e.g. bioinformatics.