Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization

Lezama, FernandoSoares, JoãoFaia, R.Vale, Zita2021-06-172021-06-172019-07978-1-4503-6748-6http://hdl.handle.net/10400.22/18060In this paper, a hybrid-adaptive differential evolution with a decay function (HyDE-DF)1 is proposed for numerical function optimization. The proposed HyDE-DF is applied to the 100-Digit Challenge in a set of 10 benchmark functions. Results show that HyDE-DF can achieve a 93/100 score, proving its effectiveness for numerical optimization.engComputing methodologiesApplied computingSearch methodologiesEngineeringEvolutionary computationDifferential evolutionnumerical optimizationHybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimizationconference object10.1145/3319619.3326747