{"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/java-implementation-of-a-parameter-less","title":"Java Implementation of a Parameter-less Evolutionary Portfolio","arxiv_id":"1506.08867","date":"2015-06-26","proceeding":null,"authors":["José C. Pereira","Fernando G. Lobo"],"abstract":"The Java implementation of a portfolio of parameter-less evolutionary\nalgorithms is presented. The Parameter-less Evolutionary Portfolio implements a\nheuristic that performs adaptive selection of parameter-less evolutionary\nalgorithms in accordance with performance criteria that are measured during\nrunning time. At present time, the portfolio includes three parameter-less\nevolutionary algorithms: Parameter-less Univariate Marginal Distribution\nAlgorithm, Parameter-less Extended Compact Genetic Algorithm, and\nParameter-less Hierarchical Bayesian Optimization Algorithm. Initial\nexperiments showed that the parameter-less portfolio can solve various classes\nof problems without the need for any prior parameter setting technique and with\nan increase in computational effort that can be considered acceptable.","url_abs":"http://arxiv.org/abs/1506.08867v1","url_pdf":"http://arxiv.org/pdf/1506.08867v1.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":"java-implementation-of-a-parameter-less","repo_url":"https://github.com/JoseCPereira/2015ParameterlessEvolutionaryPortfolioJava","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"bayesian-optimization","task_name":"Bayesian Optimization"},{"task_slug":"evolutionary-algorithms","task_name":"Evolutionary Algorithms"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}