{"title":"Optimization of magnetic actuators using competition over resources algorithm","authors":"H. Bouchekara, M. Nahas","doi":"10.1109/PIERS-FALL.2017.8293204","DOIUrl":null,"url":null,"abstract":"Over the last few years, the field of global optimization has been very active producing a wide range of optimization algorithms, particularly in the field of metaheuristics. Nowadays, metaheuristics are extensively used to solve optimization problems in all fields due to their simplicity and competitive performance. Competition Over Resource (COR) is a novel metaheuristic algorithm inspired by a natural phenomenon that is based on the competitive behavior of animal groups. In this paper, the COR algorithm is presented and then applied to optimize a magnetic actuator benchmark. The results obtained in the paper indicate that the COR algorithm is very competitive and therefore offers a reliable alternative method for the optimal design of magnetic actuators.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"150 1","pages":"584-588"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIERS-FALL.2017.8293204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
Over the last few years, the field of global optimization has been very active producing a wide range of optimization algorithms, particularly in the field of metaheuristics. Nowadays, metaheuristics are extensively used to solve optimization problems in all fields due to their simplicity and competitive performance. Competition Over Resource (COR) is a novel metaheuristic algorithm inspired by a natural phenomenon that is based on the competitive behavior of animal groups. In this paper, the COR algorithm is presented and then applied to optimize a magnetic actuator benchmark. The results obtained in the paper indicate that the COR algorithm is very competitive and therefore offers a reliable alternative method for the optimal design of magnetic actuators.
期刊介绍：
The journal publishes articles on a wide variety of topics related to documented advances in engineering education practice. Topics may include but are not limited to innovations in course and curriculum design, teaching, and assessment both within and outside of the classroom that have led to improved student learning.
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
