In this paper, an improved Backstepping control based on a recent optimization method called Ant Lion Optimizer (ALO) algorithm for Doubly Fed Induction Generator (DFIG) driven by wind turbine is designed and presented. ALO applied obtaining optimum (BCS) parameters that are able to make the drive more robust with faster dynamic response, higher accuracy steady performance. The fitness function...

Accurate state of charge (SOC) estimation is great significance to promote the development new energy vehicles. And a battery model’s accuracy for SOC accuracy. To this end, method based on back propagation neural network-Ant Lion Optimizer (BPNN-ALO) and unscented Kalman filter (UKF) proposed. First, 2-RC model established BPNN used fit OCV-SOC corresponding relationship. Second, ALO are combi...

In recent years, several high-performance nature-inspired metaheuristic algorithms have been proposed. It is important to study and compare the convergence, computational burden statistical significance of these metaheuristics aid future developments. This focuses on six metaheuristics, namely, ant lion optimization (ALO), arithmetic algorithm (AOA), dragonfly (DA), grey wolf optimizer (GWO), s...

This paper presents a particle swarm ant colony optimization for design of truss structures. The algorithm is based on the particle swarm optimizer with passive congregation and ant colony optimization. The particle swarm ant colony optimization applies the particle swarm optimizer with passive congregation for global optimization and ant colony approach is employed to update positions of parti...

Sentiment analysis and classification task is used in recommender systems to analyze movie reviews, tweets, Facebook posts, online product blogs, discussion forums, comments social networks. Usually, the performed using supervised machine learning methods such as support vector (SVM) classifier, which have many distinct parameters. The selection of values for these parameters can greatly influe...