a method based on the genetic algorithm (ga) was developed to study the phase behavior of multicomponent and multiphase systems. upon application of the ga to the thermodynamic models which are commonly used to study the vle, vlle and lle phase equilibria, the physically meaningful values for the binary interaction parameters (bip) of the models were obtained. using the method proposed in this ...

Network structures and models have been widely adopted, e.g., for Internet of Things, wireless sensor networks, smart grids, transportation communication social computer grid systems. reliability is an effective popular technique to estimate the probability that network still functioning. Networks composed binary-state (e.g., working or failed) components (arcs and/or nodes) are called networks...

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...

An adaptive online flux-linkage estimation method for the sensorless control of switched reluctance motor (SRM) drive is presented in this paper. Sensorless operation is achieved through a binary observer based algorithm. In order to avoid using the look up tables of motor characteristics, which makes the system, depends on motor parameters, an adaptive identification algorithm is used to estim...

In multilevel inverters (MLI), output voltage waveform consists of dominant low order harmonics, which needs to be minimized. Simultaneously, good control over the fundamental for desirable operation is needed. this paper, an atom search optimization (ASO) based selective harmonic elimination (SHE) method proposed a variable dc bus reduced component count (RCC) MLI. ASO population-based metaheu...