{"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/a-brief-review-of-nature-inspired-algorithms","title":"A Brief Review of Nature-Inspired Algorithms for Optimization","arxiv_id":"1307.4186","date":"2013-07-16","proceeding":null,"authors":["Iztok Fister Jr.","Xin-She Yang","Iztok Fister","Janez Brest","Dušan Fister"],"abstract":"Swarm intelligence and bio-inspired algorithms form a hot topic in the\ndevelopments of new algorithms inspired by nature. These nature-inspired\nmetaheuristic algorithms can be based on swarm intelligence, biological\nsystems, physical and chemical systems. Therefore, these algorithms can be\ncalled swarm-intelligence-based, bio-inspired, physics-based and\nchemistry-based, depending on the sources of inspiration. Though not all of\nthem are efficient, a few algorithms have proved to be very efficient and thus\nhave become popular tools for solving real-world problems. Some algorithms are\ninsufficiently studied. The purpose of this review is to present a relatively\ncomprehensive list of all the algorithms in the literature, so as to inspire\nfurther research.","url_abs":"http://arxiv.org/abs/1307.4186v1","url_pdf":"http://arxiv.org/pdf/1307.4186v1.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":"a-brief-review-of-nature-inspired-algorithms","repo_url":"https://github.com/niaorg/niapy","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}