{"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/duelist-algorithm-an-algorithm-inspired-by","title":"Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel","arxiv_id":"1512.00708","date":"2015-12-02","proceeding":null,"authors":["Totok Ruki Biyanto","Henokh Yernias Fibrianto","Gunawan Nugroho","Erny Listijorini","Titik Budiati","Hairul Huda"],"abstract":"This paper proposes an optimization algorithm based on how human fight and\nlearn from each duelist. Since this algorithm is based on population, the\nproposed algorithm starts with an initial set of duelists. The duel is to\ndetermine the winner and loser. The loser learns from the winner, while the\nwinner try their new skill or technique that may improve their fighting\ncapabilities. A few duelists with highest fighting capabilities are called as\nchampion. The champion train a new duelists such as their capabilities. The new\nduelist will join the tournament as a representative of each champion. All\nduelist are re-evaluated, and the duelists with worst fighting capabilities is\neliminated to maintain the amount of duelists. Two optimization problem is\napplied for the proposed algorithm, together with genetic algorithm, particle\nswarm optimization and imperialist competitive algorithm. The results show that\nthe proposed algorithm is able to find the better global optimum and faster\niteration.","url_abs":"http://arxiv.org/abs/1512.00708v1","url_pdf":"http://arxiv.org/pdf/1512.00708v1.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":"duelist-algorithm-an-algorithm-inspired-by","repo_url":"https://github.com/tsyet12/Duelist-Algorithm-Python","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}