Proposes and tests a t-test based method to limit simulations per iteration in local search for the stochastic parallel machine scheduling and stochastic electric vehicle scheduling problems.
(2022) Simheuristics: An Introductory Tutorial
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Subgradient Langevin dynamics and certain discretizations are shown to be ergodic for strongly convex non-smooth potentials, with the discrete versions also satisfying the law of large numbers.
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Simulation Strategies for an Efficient Local Search to solve Stochastic Scheduling Problems
Proposes and tests a t-test based method to limit simulations per iteration in local search for the stochastic parallel machine scheduling and stochastic electric vehicle scheduling problems.
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Ergodicity of Langevin Dynamics and its Discretizations for Non-smooth Potentials
Subgradient Langevin dynamics and certain discretizations are shown to be ergodic for strongly convex non-smooth potentials, with the discrete versions also satisfying the law of large numbers.