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

Fernando Lezama,Zita Vale,Ricardo Faia,João Soares

doi:10.1145/3319619.3326747

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

Fernando Lezama, Zita Vale + Show 2 more

Open Access

https://doi.org/10.1145/3319619.3326747

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Publication Date: Jul 13, 2019
Citations: 37	License type: cc-by-nc

Affiliation: Polytechnic Institute of Porto

#Hybrid-adaptive Differential Evolution #Single Objective Numerical Optimization + Show 8 more

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Abstract

In 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.

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