{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/bsas-beetle-swarm-antennae-search-algorithm","title":"BSAS: Beetle Swarm Antennae Search Algorithm for Optimization Problems","arxiv_id":"1807.10470","date":"2018-07-27","proceeding":null,"authors":["Jiangyu Wang","Huanxin Chen"],"abstract":"Beetle antennae search (BAS) is an efficient meta-heuristic algorithm.\nHowever, the convergent results of BAS rely heavily on the random beetle\ndirection in every iterations. More specifically, different random seeds may\ncause different optimized results. Besides, the step-size update algorithm of\nBAS cannot guarantee objective become smaller in iterative process. In order to\nsolve these problems, this paper proposes Beetle Swarm Antennae Search\nAlgorithm (BSAS) which combines swarm intelligence algorithm with\nfeedback-based step-size update strategy. BSAS employs k beetles to find more\noptimal position in each moving rather than one beetle. The step-size updates\nonly when k beetles return without better choices. Experiments are carried out\non building system identification. The results reveal the efficacy of the BSAS\nalgorithm to avoid influence of random direction of Beetle. In addition, the\nestimation errors decrease as the beetles number goes up.","url_abs":"http://arxiv.org/abs/1807.10470v1","url_pdf":"http://arxiv.org/pdf/1807.10470v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"bsas-beetle-swarm-antennae-search-algorithm","repo_url":"https://github.com/jywang2016/rBAS","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"Position"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}