{"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/beetle-antennae-search-without-parameter","title":"Beetle Antennae Search without Parameter Tuning (BAS-WPT) for Multi-objective Optimization","arxiv_id":"1711.02395","date":"2017-11-07","proceeding":null,"authors":["Xiangyuan Jiang","Shuai Li"],"abstract":"Beetle antennae search (BAS) is an efficient meta-heuristic algorithm\ninspired by foraging behaviors of beetles. This algorithm includes several\nparameters for tuning and the existing results are limited to solve single\nobjective optimization. This work pushes forward the research on BAS by\nproviding one variant that releases the tuning parameters and is able to handle\nmulti-objective optimization. This new approach applies normalization to\nsimplify the original algorithm and uses a penalty function to exploit\ninfeasible solutions with low constraint violation to solve the constraint\noptimization problem. Extensive experimental studies are carried out and the\nresults reveal efficacy of the proposed approach to constraint handling.","url_abs":"http://arxiv.org/abs/1711.02395v1","url_pdf":"http://arxiv.org/pdf/1711.02395v1.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":"beetle-antennae-search-without-parameter","repo_url":"https://github.com/jywang2016/rBAS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"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}