Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms

MLA

Carlos Robles-Algarín, et al. “Data from Multimodal Functions Based on an Array of Photovoltaic Modules and an Approximation with Artificial Neural Networks as a Scenario for Testing Optimization Algorithms.” Data in Brief, vol. 27, no., Dec. 2019. EBSCOhost, https://doi.org/10.1016/j.dib.2019.104669.

APA

Carlos Robles-Algarín, Diego Restrepo-Leal, & Adalberto Ospino Castro. (2019). Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms. Data in Brief, 27. https://doi.org/10.1016/j.dib.2019.104669

Chicago

Carlos Robles-Algarín, Diego Restrepo-Leal, and Adalberto Ospino Castro. 2019. “Data from Multimodal Functions Based on an Array of Photovoltaic Modules and an Approximation with Artificial Neural Networks as a Scenario for Testing Optimization Algorithms.” Data in Brief 27. doi:10.1016/j.dib.2019.104669.