BIASED-RANDOMIZED DISCRETE-EVENT HEURISTICS FOR DYNAMIC OPTIMIZATION WITH TIME DEPENDENCIES AND SYNCHRONIZATION

Biased-Randomized Discrete-Event Heuristics for Dynamic Optimization with Time Dependencies and Synchronization

Many real-life combinatorial optimization problems are subject to a high degree of dynamism, while, simultaneously, a certain level of synchronization among agents and events is required.Thus, for instance, in ride-sharing operations, the arrival of vehicles at pick-up points needs to be synchronized with the times at which users reach these locati

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Stable Isotope Analyses of Multiple Tissues of Great Shearwaters (Ardenna Gravis) Reveals Long-Term Dietary Stability, Short-Term Changes in Diet, and Can be Used as a Tool to Monitor Food Webs

The great shearwater (Ardenna gravis) is a common pelagic bird with a distribution that spans almost the entire Atlantic basin, which in conjunction with its relatively high abundance, makes great shearwaters an effective bio indicator.We compared δ13C and δ15N values from the feathers, red blood cells (RBCs), and plasma of great shearwat

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Algorithm aversion is too often presented as though it were non-compensatory: A reply to Longoni et al. (2020)

We clarify two points made in our commentary (Pezzo & Beckstead, 2020, this issue) on a recent paper by Longoni, Bonezzi, and Morewedge (2019).In both Experiments 1 and 4 parad bhasma price from their paper, it is not possible to determine whether accuracy can compensate for algorithm aversion.Experiments 3A-C, however, do show a strong effect of a

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