blackbox swMATH ID: 14922 Software Authors: Paul Knysh, Yannis Korkolis Description: Blackbox: A procedure for parallel optimization of expensive black-box functions. This note provides a description of a procedure that is designed to efficiently optimize expensive black-box functions. It uses the response surface methodology by incorporating radial basis functions as the response model. A simple method based on a Latin hypercube is used for initial sampling. A modified version of CORS algorithm with space rescaling is used for the subsequent sampling. The procedure is able to scale on multicore processors by performing multiple function evaluations in parallel. The source code of the procedure is written in Python. Homepage: http://arxiv.org/abs/1605.00998 Keywords: arXiv; optimization; black-box function; Latin hypercube; response surface; parallel computing Related Software: PRMLT; gfanlib; gitfan.lib; Gfan; cdd; SINGULAR; PMTK Cited in: 3 Publications all top 5 Cited by 7 Authors 1 Ben Hassan Saïdi, Ismaïl 1 Cinnella, Paola 1 Grasso, Francesco 1 Platt, Donovan 1 Ren, Yue 1 Schmelzer, Martin 1 Schönemann, Hans Cited in 3 Serials 1 Journal of Computational Physics 1 Journal of Economic Dynamics & Control 1 The Journal of Software for Algebra and Geometry Cited in 4 Fields 2 Computer science (68-XX) 1 Algebraic geometry (14-XX) 1 Fluid mechanics (76-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Citations by Year