Hybrid extreme point tabu search

Article Abstract:

A new hybrid tabu search method that combines extreme point tabu search with traditional descent algorithms based on linear programming is proposed for optimizing a continuous differentiable function over the extreme points of a polyhedron. Computational results reveal that the algorithm generates optimal solutions in comparison with the embedded descent algorithm and a version of tabu search that does not make use of a descent.

Methods, Algorithms, Machine learning

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Estimated stochastic programs with chance constraints

Article Abstract:

An improvement in the non-parametric estimation procedure for chance-constrained stochastic programs was effected by fixing certain reliability levels for random constraints. This was done by the isotonic regression estimates of increasing hazard rates. The choice of hazard rates is due to an observed relationship between logarithmic concave measures and increasing hazard rate distributions.

Research, Analysis, Estimation theory, Probabilities, Probability theory

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