Saeid Parvandeh, M. Boroomand, Fahimeh Boroumand, Pariya Soltani
{"title":"针对二次分配问题的改进单目标和多目标细菌觅食优化","authors":"Saeid Parvandeh, M. Boroomand, Fahimeh Boroumand, Pariya Soltani","doi":"10.1504/IJBIC.2021.10035833","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"72 1","pages":"1-13"},"PeriodicalIF":1.7000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A modified single and multi-objective bacteria foraging optimisation for the solution of quadratic assignment problem\",\"authors\":\"Saeid Parvandeh, M. Boroomand, Fahimeh Boroumand, Pariya Soltani\",\"doi\":\"10.1504/IJBIC.2021.10035833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49059,\"journal\":{\"name\":\"International Journal of Bio-Inspired Computation\",\"volume\":\"72 1\",\"pages\":\"1-13\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Bio-Inspired Computation\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1504/IJBIC.2021.10035833\",\"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.2021.10035833","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.