Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...

Software defect prediction has turned into an expected requirement for organizations to guarantee quality and reliability of software products. The early defect prediction can encourage managers to amend and improve reliability of product. Methodologies, for example, machine learning and neural network have ended up as eminent solution for training and classification of data and can be importan...

Many authors have examined lot sizing, scheduling and sequence of multi-product flow shops, but most of them have assumed that set up times are independent of sequence. Whereas dependence of set up times to sequence is more common in practice. Hence, in this paper, we examine the discussed problem with hypothesis of dependence of set up times to sequence and cyclic schedule policy in basic peri...

this paper proposes per unit coding for combined economic emission load dispatch problem. in the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. in the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. in this paper, particle sw...

The performance of an optical negative index metamaterial is optimized by simulated annealing, genetic algorithm, and particle swarm optimization methods. While these methods yield very similar designs, the particle swarm optimization shows the best performance. ©2007 Optical Society of America OCIS codes: (160.3900) Metals; (000.4430) Numerical approximation and analysis

Sludge is a byproduct of wastewater processing suitable for biogas production. The biogas consisting of about 60% methane can be used to generate electricity and heat. A data-driven approach for optimization of biogas production process in a wastewater treatment plant is presented. The process model is developed using routinely collected data categorized as controllable and uncontrollable varia...

The paper is aimed to the multi-objective optimization of wire multi-band antennas. Antennas are numerically modeled using time-domain integral-equation method. That way, the designed antennas can be characterized in a wide band of frequencies within a single run of the analysis. Antennas are optimized to reach the prescribed matching, to exhibit the omni-directional constant gain and to have t...

for a uniform distribution of water, decrease in water waste and decrease in erosion of soil, it is important that a land be prepared with proper slopes along its length as well as width. the aim of leveling is to create appropriate slopes for irrigation and drainage on the lands that were not already properly levelled and of the same time creating the level surface with a minimum transport of ...

In light of the accuracy of particle swarm optimization-particle filter (PSO-PF) inadequate for multi-robot cooperative positioning, the paper presents population density particle swarm optimization-particle filter (PDPSO-PF), which draws cooperative coevolutionary algorithm in ecology into particle swarm optimization. By taking full account of the competitive relationship between the environme...