In long-distance gas transmission pipelines, there are many booster compressor stations consisting of parallel compressors that provide pressure for the delivery natural gas. So, it is economically important to optimize operation station. The station optimization problem a typical mixed integer nonlinear programming (MINLP) problem, and solving accurately stably challenge. this paper, we propos...

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...

To address the defects of salp swarm algorithm (SSA) such as slow convergence speed and ease falling into a local minimum, new combining chaotic mapping decay factor is proposed combined with back propagation (BP) neural network to achieve an effective prediction tool wear. Firstly, used enhance formation population, which facilitates iterative search reduces trapping in optimum; secondly, intr...

In the present study, an Enhanced SSA (ESSA) has been proposed where parameter of technique, which balances exploration and exploitation phases, modified. Additionally, variable scaling factor is engaged to regulate salp’s position during search procedure minimize random movement salps. To demonstrate effectiveness enhanced (ESSA), a set multimodal test functions are engaged. The statistical ou...

clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...