Implementation of algorithms and other useful resources.
Please download “[1] HyDE-DF implementation” to test the algorithm and perform modifications if needed. You can use [2] and [3] to go deep into the material of papers using HyDE-DF.
[1] HyDE-DF implementation: Ready to be tested in 50 benchmark functions. Note this is the source code of the algorithm ease to test and modify. (Matlab Code)(Github-Repository)
[2] HyDE-DF (All experiments!!!) for Lezama et al.: HyDE-DF: A novel self-adaptive version of differential evolution for numerical optimization. To be published (Github-Repository)
[3] HyDE-DF (with reinitialization) as used in Lezama et al.: Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization. GECCO2019. (Matlab Code) (Github-Repository)