R. Tharmarasa, T. Kirubarajan, Aishwaryaprajna ., J. Rowe
{"title":"基于噪声组合多目标优化的无人机路径规划","authors":"R. Tharmarasa, T. Kirubarajan, Aishwaryaprajna ., J. Rowe","doi":"10.1504/ijbic.2023.10057556","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"14 2 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"UAV Path Planning in Presence of Occlusions as Noisy Combinatorial Multi-Objective Optimisation\",\"authors\":\"R. Tharmarasa, T. Kirubarajan, Aishwaryaprajna ., J. Rowe\",\"doi\":\"10.1504/ijbic.2023.10057556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49059,\"journal\":{\"name\":\"International Journal of Bio-Inspired Computation\",\"volume\":\"14 2 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.2023.10057556\",\"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.2023.10057556","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.