In recent years, finding the optimal solution for image segmentation has become more important in many applications. The whale optimization algorithm (WOA) is a metaheuristic technique that advantage of achieving global while also being simple to implement and solving real-time problems. If complexity problem increases, WOA may stick local optima rather than optima. This could be an issue obtai...

In this paper, we propose an efficient approach to design optimization of analog circuits that is based on the reinforcement learning method. In this work, Multi-Objective Learning Automata (MOLA) is used to design a two-stage CMOS operational amplifier (op-amp) in 0.25μm technology. The aim is optimizing power consumption and area so as to achieve minimum Total Optimality Index (TOI), as a new...

In this paper, the theory and modeling of large scale photovoltaic (PV) in the power grid and its effect on power system stability are studied. In this work, the basic module, small signal modeling and mathematical analysis of the large scale PV jointed multi-machine are demonstrated. The principal portion of the paper is to reduce the low frequency fluctuations by tuned stabilizer in the atten...

The insurance industry is based on risk calculations, high profits, and detailed information. predictive models that companies utilize allow to make accurate decisions about the sector. This research focuses improving accuracy of predicting customers Property Casualty (P&C) insurance. In this study, a reliable quantitative analytical big data method has been developed, Hybrid Grey Wolf Whal...

Abstract The most crucial function in drilling wells is the rate of penetration, which modeled by many researchers, and best one Young-Bourgyen model, used this study. Eight factors affecting penetration have been studied approved developing a mathematical equation that shows combined effects these variables on optimization. This paper presents an efficient way to find optimum values for parame...

Abstract When investing in new stocks, it is difficult to predict returns and risks a general way without the support of historical data. Therefore, portfolio optimization model with an uncertain rate return proposed. On this basis, prospect theory used for reference, then established from perspective expected utility maximization. An improved gray wolf (GWO) algorithm designed because complex ...

Regarding the problem of reduced remaining useful life (RUL) due to wear ball screw in feed system CNC (computer numerical control) machine tools, a prediction method based on constructing degradation feature vector signal data and improved gray-wolf optimization with bidirectional long short-term memory (IGWO-BiLSTM) neural network regression model is proposed. Firstly, time-domain analysis co...

Passive systems are preferred tools for seismic control of buildings challenged by probabilistic nature of the input excitation. However, other types of uncertainty still exist in parameters of the control device even when optimally tuned. The present work concerns optimal design of multiple-tuned-mass-damper embedded on a shear building by a number of meta-heuristics. They include well-known g...