{"title":"Optimal Power Flow using Clustered Adaptive Teaching Learning Based Optimization","authors":"S. Salkuti","doi":"10.1504/IJBIC.2016.10004295","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"164 9","pages":"1"},"PeriodicalIF":1.7000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Bio-Inspired Computation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1504/IJBIC.2016.10004295","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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
