Dipper throated optimization (DTO) algorithm is a novel with very efficient metaheuristic inspired by the dipper bird. DTO has its unique hunting technique performing rapid bowing movements. To show efficiency of proposed algorithm, tested and compared to algorithms Particle Swarm Optimization (PSO), Whale Algorithm (WOA), Grey Wolf Optimizer (GWO), Genetic (GA) based on seven unimodal benchmar...

Abstract A short-term wind power prediction method is proposed in this paper with experimental results obtained from a farm located Northeast China. In order to improve the accuracy of using traditional back-propagation (BP) neural network algorithm, improved grey wolf optimization (IGWO) algorithm has been adopted optimize its parameters. The performance evaluated by experiments. First, featur...

The scope of this paper is to forecast wind speed. Wind speed, temperature, wind direction, relative humidity, precipitation of water content and air pressure are the main factors make the wind speed forecasting as a complex problem and neural network performance is mainly influenced by proper hidden layer neuron units. This paper proposes new criteria for appropriate hidden layer neuron unit’s...

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), ...

Big data are regarded as a tremendous technology for processing huge variety of in short time and with large storage capacity. The user’s access over the internet creates massive internet. require an intelligent feature selection model by addressing varieties data. Traditional techniques only applicable to simple mining. Intelligent needed big machine learning efficient classification. Major al...