{"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/flower-pollination-algorithm-for-global","title":"Flower Pollination Algorithm for Global Optimization","arxiv_id":"1312.5673","date":"2013-12-19","proceeding":null,"authors":["Xin-She Yang"],"abstract":"Flower pollination is an intriguing process in the natural world. Its\nevolutionary characteristics can be used to design new optimization algorithms.\nIn this paper, we propose a new algorithm, namely, flower pollination\nalgorithm, inspired by the pollination process of flowers. We first use ten\ntest functions to validate the new algorithm, and compare its performance with\ngenetic algorithms and particle swarm optimization. Our simulation results show\nthe flower algorithm is more efficient than both GA and PSO. We also use the\nflower algorithm to solve a nonlinear design benchmark, which shows the\nconvergence rate is almost exponential.","url_abs":"http://arxiv.org/abs/1312.5673v1","url_pdf":"http://arxiv.org/pdf/1312.5673v1.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":"flower-pollination-algorithm-for-global","repo_url":"https://github.com/amir1m/bio-inspired","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"global-optimization","task_name":"global-optimization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}