in recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. the researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the r...

Deterministic rainfall-runoff models require parameter calibration with the aim of matching the modeled streamflow record to an observed record as closely as possible. Much attention has been focused on automated methods of model calibration using meta-heuristics, such as genetic algorithms. In this study, two meta-heuristic algorithms were compared: the shuffled complex evolution (SCE) algorit...

fuel cells belong to an avant-garde technology family for a wide variety of applications including micro-power, transportation power, stationary power for buildings and other distributed generation applications. the first objective of this contribution is to find a suitable reduced model of a solid oxide fuel cell (sofc). the derived reduced model is then used to design a state estimator. in th...

the present study is an attempt to investigate some features of radial basis functions (rbfs) approximation methods related to variational problems. thereby authors applied some properties of rbfs to develop a direct method which reduces constrained variational problem to a static optimization problem. to assess the applicability and effectiveness of the method, some examples are examined. dyna...

The modified square well Potential is combined with perturbed-hard-trimer-chain (PHTC) EOS to predict the solubility parameter of several fluids including alkanes, refrigerants and molten polymers. The performance of the proposed model has been evaluated by predicting the solubility parameter of 12 hydrocarbons,3 refrigerants, and 12 polymers. From the 263 data points for hydrocarbons and refri...