To explore the complicated functional relationship between key parameters such as recycled aggregate properties, mix proportion and compressive strength of concrete (RAC), a complete database involving 607 records from relevant published literature was built. Two standard algorithms (artificial neural network (ANN) support vector regression (SVR)) two optimized hybrid models (Particle Swarm Opt...

Evolutionary Population Dynamics (EPD) refers to eliminating poor individuals in nature, which is the opposite of survival fittest. Although this method can improve median whole population meta-heuristic algorithms, it suffers from exploration capability handle high-dimensional problems. This paper proposes a novel EPD operator search process. In other words, as primary mainly improves fitness ...

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...

The use of multirotor unmanned aerial vehicles (UAV), which can take-off and landing vertically, is gradually expanding. Although there are many types these with standard configuration, non-standard configurations may be required for special purposes usage. So, an octocopter UAV asymmetric configuration proposed in this study. In particular, asymmetrically configured intended to used imaging or...

The reduction in comprehensive costs and carbon emissions the process of trans-regional multi-seasonal pharmaceutical cold chain logistics is a highly debated topic. To simultaneously address these issues, we propose dual distribution method based on vehicle routing problem (VRP), wherein either refrigerated truck or van equipped with container selected for drug delivery. verify effectiveness t...

Many evolutionary algorithms have been presented in the last few decades, some of these algorithms were sufficiently tested and used in many researches and papers, such as: Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Differential Evolution Algorithm (DEA). Other recently proposed algorithms were unknown and rarely used such as Stochastic Fractal Search (SFS), Symbiotic Organi...

In order to more accurately predict the global solar energy consumption, a new grey prediction model FDGM(1,1, $$t^{\alpha }$$ ) is proposed in this paper. The wolf optimizer (GWO) used optimize fractional-order $$r$$ and time power $$\alpha$$ model. model, two statistical models other five existing are simulate consumption four economies (France, South Korea, OECD Asia Pacific region) from 201...

An effective bearing fault diagnosis model based on machine learning is proposed in this study. The can separate into three stages: feature extraction, selection, and classification. In the stage of multiresolution analysis (MRA) fast Fourier transform (FFT) are applied to extract features from raw signal measured rotating machine. second stage, a powerful selection method utilized selection. n...

A Model-based predictive current control (MBPCC) has recently become a powerful advanced technology in industrial drives. However, MBPCC relies on the knowledge of system model and parameters, being, therefore, very sensitive to parameters errors. In case synchronous reluctance motor (SynRM), where vary due its ferromagnetic structure nonlinear magnetic properties, performance would suffer sign...