GitHub / aliasgharheidaricom / Hunger-Games-Search-Visions-Conception-Implementation-Deep-Analysis-and-Performance-Shifts
Visit: 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.
Stars: 4
Forks: 1
Open issues: 0
License: mit
Language: MATLAB
Size: 2.92 MB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 9 months ago
Topics: algorithms-and-data-structures, code, free, machine-learning, metaheuristics, modeling, modeling-dynamic-systems, optimization, optimization-methods, optimization-tools, software-development, swarm-intelligence