Image segmentation is one of the pivotal steps in image processing due to its enormous application potential medical analysis, data mining, and pattern recognition. In fact, process splitting an into multiple parts order provide detailed information on different aspects image. Traditional techniques suffer from local minima premature convergence issues when exploring complex search spaces. Addi...

The Gravitational Search Algorithm (GSA) is one of the highly regarded population-based algorithms. It has been reported that GSA a powerful global exploration capability but suffers from limitations getting stuck in local optima and slow convergence speed. In order to resolve aforementioned issues, modified version proposed based on levy flight distribution chaotic maps (LCGSA). LCGSA, diversi...

With the development of information technology, a large number product quality data in entire manufacturing process is accumulated, but it not explored and used effectively. The traditional prediction models have many disadvantages, such as high complexity low accuracy. To overcome above problems, we propose an optimized equalization method to pre-process dataset design simple effective model: ...

Levy walk (LW) process has been used as a simple model for describing anomalous diffusion in which the mean squared displacement of walker grows non-linearly with time contrast to diffusive motion described by random walks or Brownian motion. In this paper we study extension LW one dimension introducing correlation among velocities different (flight) steps. Such is absent model. The correlation...

The availability of intraday stock/index return in the web facilitates the improvement of return volatility estimation over the traditional method that is based on inter-day return data. Truncated Levy process distribution is used to extract the intraday return distribution parameters. The calibration to the volatility for Black-Scholes option pricing is studied using the data from Levy-Gaussia...