introduction genetic evaluation and estimation of breeding value are one of the most fundamental elements of breeding programmes for genetic improvement. recently, genomic selection has become an efficient method to approach this aim. the accuracy of estimated genomic breeding value is the most important factor in genomic selection. different studies have been performed addressing the factors a...

A generation method of scenarios using differential information between normal scenarios is presented. Behaviours of normal scenarios belonging to the same problem domain are quite similar. We derive the differential information between them and apply the information to generate new alternative/exceptional scenarios. Our method will be illustrated with examples. This paper describes (1) a langu...

Stability-based methods for scenario generation in stochastic programming arereviewed. In particular, we briefly discuss Monte Carlo sampling, Quasi–Monte Carlo methods,quadrature rules based on sparse grids, and optimal quantization. In addition, we provide someconvergence results based on recent developments in multivariate integration. The method ofoptimal scenario reduction ...

In this paper, we discuss the evaluation of quality/suitability of scenario-generation methods for a given stochastic programming model. We formulate minimal requirements that should be imposed on a scenario-generation method before it can be used for solving the stochastic programming model. We also show how the requirements can be tested. The procedure of testing a scenario-generation method ...

This work presents an empirical analysis of popular scenario generation methods for stochastic optimization, including quasi-Monte Carlo, moment matching, and methods based on probability metrics, as well as a new method referred to as Voronoi cell sampling. Solution quality is assessed by measuring the error that arises from using scenarios to solve a multi-dimensional newsvendor problem, for ...

This paper proposes a modified conditional generative adversarial network (cGAN) model to generate net load scenarios for power systems that are statistically credible, conditioned by given labels (e.g., seasons), and, at the same time, “stressful” system operations and dispatch decisions. The measure of stress used in this is based on operating cost increases due changes. proposed operation-ad...

Due to increasing solid waste generation and their significant impacts on human health, environmental assessment of the management and disposal methods become more and more important. There are various disposal methods which are the combinations that originate from a wide range of solid waste management systems. In this study, municipal waste of Tehran (which totals to 7507.5 tons/day) is asses...