gravitational search algorithm (gsa) is one of the newest swarm based optimization algorithms, which has been inspired by the newtonian laws of gravity and motion. gsa has empirically shown to be an efficient and robust stochastic search algorithm. since introducing gsa a convergence analysis of this algorithm has not yet been developed. this paper introduces the first attempt to a formal conve...

Computational experiments with a simple algorithm show that it is possible to fill any spatial region with a random fractalization of any shape, with a continuous range of pre-specified fractal dimensions D. The algorithm is presented here in 1, 2, or 3 physical dimensions. The size powerlaw exponent c or the fractal dimension D can be specified ab initio over a substantial range. The method cr...

Early prediction of thermal loads plays an essential role in analyzing energy-efficient buildings’ energy performance. On the other hand, stochastic algorithms have recently shown high proficiency dealing with this issue. These are reasons that study is dedicated to evaluating innovative hybrid method for predicting cooling load (CL) buildings residential usage. The proposed model a combination...

The generalized approach to stochastic optimization involves two computationally intensive recursive loops: (1) the outer optimization loop, (2) the inner sampling loop. Furthermore, inclusion of discrete decision variables adds to the complexity. The focus of the current endeavor is to reduce the computational intensity of the two recursive loops. The study achieves the goals through an improv...

Today, performance prediction of component-based systems is important to help software engineers to analyze their applications in early stages of the development life-cycle, so that performance problems are avoided. To achieve performance prediction, modelling is a crucial step. It would be interesting if component performance models can be derived automatically. To this aim, we describe in thi...

Biological reactions of individuals of a testing animal to toxic substance are unique and can be used as an indication of the existing of toxic substance. However, to distinguish such phenomenon need a very complicate system and even more complicate to analyze data in 3 dimensional. In this paper, a system to evaluate in vitro biological activities to acute toxicity of stochastic self-affine no...

In fractal image compression the encoding step is computationally expensive. A large number of sequential searches through a list of domains (portions of the image) are carried out while trying to find best matches for other image portions called ranges. Our theory developed here shows that this basic procedure of fractal image compression is equivalent to multi-dimensional nearest neighbor sea...