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pysamoo: Surrogate-Assisted Multi-Objective Optimization in Python
[article]
2022
arXiv
pre-print
Significant effort has been made to solve computationally expensive optimization problems in the past two decades, and various optimization methods incorporating surrogates into optimization have been proposed. However, most optimization toolboxes do not consist of ready-to-run algorithms for computationally expensive problems, especially in combination with other key requirements, such as handling multiple conflicting objectives or constraints. Thus, the lack of appropriate software packages
arXiv:2204.05855v1
fatcat:niscndputncffdh2xiwomviiui