Improving Metaheuristic E ffi ciency for Stochastic Optimization by Sequential Predictive Sampling
This work proposes a general method to reduce the number of scenario evaluations per solution and thus improve metaheuristiciency, using a sequential sampling procedure exploiting estimates of the solutions’ expected objective values.
Noah Schutte, K. Postek, Neil Yorke-Smith
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