Code for executing virtual experiments with intelligent bet-and-run strategies for optimization, which efficiently utilize a total computational budget for getting good results by first starting n runs and after some time pick one of them to continue for the remaining budget.
machine-learning optimization models regression prediction artificial-neural-networks optimization-methods black-box-optimization bet-and-run
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Updated
May 8, 2018 - Java