๐ฌ Dr. Ali Asghar Heidari has been a researcher with the School of Computing at the National University of Singapore (NUS), the University of Tehran, Wenzhou University, and recognized as an elite by Iran's National Elites Foundation (INEF). ๐ Dr. Heidari has contributed to over 200 research articles, gaining over 23,500+ citations and achieving an H-index of 70+. His work spans performance optimization, advanced machine learning, evolutionary computation, information systems, and mathematical modeling. ๐ Delve deeper into his contributions and insights on his website.
aliasgharheidaricom / hunger-games-search-visions-conception-implementation-deep-analysis-and-performance-shifts Goto Github PK
View Code? Open in Web Editor NEWVisit: https://aliasgharheidari.com/HGS.html. HGS optimizer is a population-based method with stochastic switching elements that enrich its main exploratory and exploitative behaviors and flexibility of HGS in dealing with challenging problem landscapes. The algorithm has been compared to LSHADE, SPS_L_SHADE_EIG, LSHADE_cnEpSi, SHADE, SADE, MPEDE, and JDE methods.
Home Page: https://aliasgharheidari.com/HGS.html
License: MIT License