Abstract. Forecast uncertainties are unfortunately inevitable when conducting a deterministic analysis of dynamical system. The cascade uncertainty originates from different components the forecasting chain, such as chaotic nature atmosphere, various initial conditions and boundaries, inappropriate conceptual hydrologic modeling, inconsistent stationarity assumption in changing environment. Ens...

The topic of unrepairable system is an important content in system reliability theory. There are many reasons cannot be repaired, some because of technical reasons, cannot repair, some because of economic reasons, not worth to repair, and some because of making repairable system simplification. So it is essential to pay attention to unrepairable systems. In this paper, the lifetimes of unrepair...

The complexity of chemical plant systems (CPS) makes optimising their design and operation challenging tasks. This also results in analytical numerical simulation models these having high computational costs. Research demonstrates the benefits using machine learning as surrogates or substitutes for computationally expensive during CPS optimisation. paper presents our study, extending recent res...

We present a multi-objective evolutionary algorithm to exploit a medium-sized fuzzy outranking relation to derive a partial order of classes of alternatives (we call it RP-NSGA-II). To measure the performance of RP-NSGA-II, we present an empirical study over a set of simulated multi-criteria ranking problems. The result of this study shows that RP-NSGA-II can effectively exploit a medium-sized ...

the redundancy allocation problem can be described as selecting the components and system configuration in order to optimize some objective function(s) without violating the system constraints. operating conditions are not constant in many advanced engineering systems. mostly, in the engineering applications selection, the number of redundancy components must be balanced among the constraints (...

Portfolio optimization is a serious challenge for financial engineering and has pulled down special attention among investors. It has two objectives: to maximize the reward that is calculated by expected return and to minimize the risk. Variance has been considered as a risk measure. There are many constraints in the world that ultimately lead to a non–convex search space such as cardinality co...

Repairable systems are either repaired perfectly to a state of as good as new or imperfectly. In this work, a system which undergoes imperfect repair is investigated. A nonlinear mathematical model is formulated for a system with the objective of finding the optimum failure and repair rate with the minimum costs subject to attaining a pre-specified performance level. Two imperfect repair models...

The present-day evolutionary multi-objective optimization (EMO) algorithms had a demonstrated history of evolution over the years. The initial EMO methodologies involved additional niching parameters which made them somewhat subjective to the user. Fortunately, soon enough parameter-less EMO methodologies have been suggested thereby making the earlier EMO algorithms unpopular and obsolete. In t...

Hybrid energy storage systems (HESS) that combine lithium-ion batteries and supercapacitors are considered as an attractive solution to overcome the drawbacks of battery-only systems, such high cost, low power density, short cycle life, which hinder popularity electric vehicles. A properly sized HESS implementable real-time management system great importance achieve satisfactory driving mileage...