Abstract: Real-world optimization problems are becoming increasingly complex and require effective and versatile algorithms to provide reliable solutions. However, the no-free-lunch theorem indicates ...
## Creates a dataset of sliding windows over a timeseries provided as array | data | array or eager tensor containing consecutive data points (timesteps). The first axis is expected to be the time ...
Abstract: This paper presents a modified bonobo optimizer (MBO) that integrates the Gaussian local mutation, restart strategy, and random contraction strategy into the original bonobo optimizer (BO).
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