We present new algorithms for the dynamic generation of scenario trees for multistage stochastic optimization. The different methods described are based on random vectors, which are drawn from conditional distributions given the past and on sample trajectories. The structure of the tree is not determined beforehand, but dynamically adapted to meet a distance criterion, which insures the quality...

∃ many models suitable for exploitation of financial time series and stochastic models with continuous time ∃ various specific problems, e.g. – various levels of information on various sources of uncertainty – demographic data, economic factors – correlations of stock market and bond returns – problem specific additional random factors (prepayment rates, defaults ...) – difficulties to model il...

Stability-based methods for scenario generation in stochastic programming are reviewed. 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 some convergence results based on recent developments in multivariate integration. The method of optimal scenario reduction and technique...

The development of assessment methods for the performance Automated Vehicles (AVs) is essential to enable deployment automated driving technologies, due complex operational domain AVs. One candidate scenario-based assessment, in which test cases are derived from real-world road traffic scenarios obtained data. Because high variety possible scenarios, using only observed not sufficient. Therefor...

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...

Software security has become a crucial component of any software system in today’s market. However, the development of secure software is still a maturing process. Software architecture (SA) assessment methods have gained increasing attention in recent years. Most of these evaluation techniques are scenario-based, and thus depend heavily on the quality of the scenarios selected for their evalua...

This “reflections from practice” piece explores some of the implications emerging, artificially intelligent tools for futures and foresight prac-ademic community. The authors provide background on these tools, explore, with special emphasis scenarios, a specific tool named “Chat Generative Pre-trained Transformer” (hereafter, ChatGPT). examine utility scenarios generated by artificial intellige...

Abstract In this paper, we present and compare several methods for generating scenarios stochastic-programming models by direct selection from historical data. The range standard sampling k -means, through iterative sampling-based methods, to a new moment-based optimization approach. We the on simple portfolio-optimization model show how use them in situation when are selecting whole sequences ...