parameter estimation of the nonlinear muskingum model is a highly nonlinear optimization problem. although various techniques have been applied to optimize the coefficients of the nonlinear muskingum flood routing models, but an efficient method for this purpose in the calibration process is still lacking. the accuracy of artificial bee colony (abc) algorithm is investigated in this paper to op...

The process of parameter choosing in vehicle overall design is a process of collaboration design, and is also a process of group decision optimization. The degree of cooperation and level of experts become the crucial standards in Computer Supported Collaborative Design because many decision-makers participating in the design process have different expertise and goals. This paper describes vehi...

Austenitic stainless steels (AISI316) are used for many commercial and industrial applications for their excellent corrosive resistance. AISI316 is generally difficult to machine material due to their high strength and high work hardening tendency. Tool wear (TW) and surface roughness (SR) are broadly considered the most challenging phases causing poor quality in machining. Optimization of cutt...

important parameters on apple drying process are investigated experimentally and modeled employing artificial neural network and neuro-taguchi's method. experimental results show that the apple drying curve stands in the falling rate period of drying. temperature is the most important parameter that has a more pronounced effect on drying rate than the other two parameters i.e. air velocity and ...

in quality control charts, the problem of determining the optimum process mean arises when the deviation of a quality characteristic in one direction is more harmful than in the opposite direction. the failure mode in these two directions is usually different. a great majority of researches in this area have considered asymmet-ric cost function for processes with single quality characteristics....

In engineering, flood routing is an important technique necessary for the solution of a floodcontrol problem and for the satisfactory operation of a flood-prediction service. A simple conceptual model like the Muskingum model is very effective for the flood routing process. One challenge in application of the Muskingum model is that its parameters cannot be measured physically. In this article ...

Several traditional stopping criteria in Genetic Algorithms (GAs) are applied to the optimization process of a typical laminated composite plate. The results show that neither of the criteria of the type of statistical parameters, nor those of the kinds of theoretical models performs satisfactorily in determining the interruption point for the GA process. Here, considering the configuration of ...

Much progress has beenmade in the standardization of uncertainty analysis techniques for simulationmodeling but less progress has been made in optimization modeling. Among the various techniques used for optimization modeling under uncertainty, robust optimization (RO) uniquely allows for evaluation and control of the various risks of poor system performance resulting from input parameter uncer...

methyl tertiary butyl ether (mtbe) is known as a promising substitute for tetra ethyl lead (tel) in order to increase the octane number of gasoline. mtbe process, as many other processes, has two distinguished section, namely reaction section and separation section. in this paper we focus only on synthesis and optimization of separation section of this process. in order to achieve this objectiv...

Machining is the essential activity of a manufacturing organization and milling is one of them. The economy growth rate of a country depends upon the innovation and research in manufacturing sectors. In this paper an attempt has been made to identify the gap in optimization of process parameters in milling operations through extensive literature review. Literature review revealed that researche...