Small scale wind turbines can be used in indoor facilities that are mainly either stand-alone or gridconnected systems. With grid contiguous turbines, the output from the wind turbine is directly connected to the existing mains electricity supply. For this purpose Improved Honey Bee Mating Optimization (IHBMO) technique is considered as an optimization algorithm to power system. Also the wind f...

In this paper, the investment portfolio is formed based on the data mining algorithm of CHAID on the basis of the risk status criteria. In the next step, the second investment portfolio is created based on the decision rules extracted by the DEA-BCC model. The final portfolio is created through a two-objective mathematical programming model based on the Imperialist Competitive algorithm.

Machining processes such as end milling are the main steps of production which have major effect on the quality and cost of products. Surface roughness is one of the considerable factors that production managers tend to implement in their decisions. In this study, an artificial neural network is proposed to minimize the surface roughness by tuning the conditions of machining process such as cut...

The development of large scale wind farms that can compete with conventional energy resources presents significant challenges to today’s wind energy industry. A powerful solution to these daunting challenges can be offered by a synergistic consideration of the key design elements (turbine selection and placement) and the variations in the natural resource. This paper significantly advances the ...

Cloud computing is being welcomed as a new basis to manage and provide services on the internet. One of the reasons for increased efficiency of this environment is the appropriate structure of the tasks scheduler. Since the tasks scheduling in the cloud computing environment and distributed systems is an NP-hard problem, in most cases to optimize the scheduling issues, the meta-heuristic method...

The quality of manufactured products is characterized by many controllable quality factors. These factors should be optimized to reach high quality products. In this paper we try to find the controllable factor’s levels with minimum deviation from their target and with a least variation. To solve such problems a simple aggregation function is used to aggregate the multiple response functions fo...