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...

In view of the shortcomings whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved (IWOA) is proposed. First, standard WOA from three aspects initial population, factor, mutation operation. At same time, Gaussian introduced. Then nonfixed penalty function method used transform constrained problem unconstrained problem. ...

Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...

Abstract News is a medium that notifies people about the events had happened worldwide. The menace of fake news on online platforms rise which may lead to unwanted events. majority spread through social media platforms, since these have great reach. To identify credibility news, various spam detection methods are generally used. In this work, new stance method has been proposed for identifying ...

Abstract To solve the problems of whale optimization algorithm (WOA) with slow convergence speed, low accuracy, and poor global search ability, a multistrategy hybrid adaptive (MHWOA) was proposed. In this algorithm, logistic–tent chaos used to initialize population, which could make population distribution more random uniform. The opposition-based learning strategy adopted expand individuals c...