In this paper, a new hybrid self-evolving algorithm is presented with its application to a highly nonlinear problem in electrical engineering. The optimal power flow problem described here focuses on the minimization of the fuel costs of the thermal units while maintaining the voltage stability at each of the load buses. There are various restrictions on acceptable voltage levels, capacitance l...

The Belief-Desire-Intention (BDI) architecture is a practical approach for modelling large-scale intelligent systems. In the BDI setting, a complex system is represented as a network of interacting agents – or components – each one modelled based on its beliefs, desires and intentions. However, current BDI implementations are not well-suited for modelling more realistic intelligent systems whic...

Multidisciplinary reliability design optimization is considered an effective method for solving complex product problems under the influence of uncertainty factors; however, high computational cost seriously affects its application in practice. As important part multidisciplinary optimization, analysis plays a direct leading role efficiency. At present, mixed still nested or sequential executio...

Hybrid cloud storage infrastructure, which combines cost-effective but inflexible private resources and flexible but premium-priced public cloud storage, allows organizations to operate cost-efficiently under demand volume uncertainty. The extant literature, however, offers a limited analytical insight into the effect that the variation of demand has on the cost-efficient mix of internal and ex...

Stochastic hybrid systems represent established classes of realistic models of hybrid dynamics subject to random perturbations, autonomous uncontrollable transitions, nondeterminism or uncertainty. Stochastic reachability analysis is a key factor in the verification and deployment of stochastic hybrid systems. In this paper, we tackle the stochastic reachability problem from a purely probabilis...

in this study, an optimization model is proposed to design a global supply chain (gsc) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of economic cooperation organization trade agreement (ecota) is...

In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. Therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of Economic Cooperation Organization trade agreement (ECOTA) is...

Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope with the uncertainty associated to complex environments such as dust forecasting problem. This paper presents novel hyb...

This paper studies uncertainty using the ECB Survey of Professional Forecasters’ data. We consider both inflation and real GDP growth forecasts at the micro level and explore forecast uncertainty using two alternative measures, i.e. conventional standard deviation of individual point forecasts and the median values of individual forecasters’ uncertainty, which are based on subjective probabilit...