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P predictive dual smoothing is introduced, which instead combines the current dual solution with a learned prediction of future duals to steer pricing towards variables that are more useful in subsequent iterations.
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.
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