Abstract Recently, integrated machine learning (ML) metaheuristic algorithms, such as the artificial bee colony (ABC) algorithm, genetic algorithm (GA), gray wolf optimization (GWO) particle swarm (PSO) and water cycle (WCA), have become predominant approaches for landslide displacement prediction. However, these algorithms suffer from poor reproducibility across replicate cases. In this study,...

A new metaheuristic method, the Gray Wolf optimizer algorithm based on the foraging behavior of Grey wolf is proposed in this paper for optimizing stabilizer parameters. The optimal stabilizer is applied to static synchronous series compensator (SSSC) for Inter-Area oscillation damping. There are two different channels for controlling of phase and magnitude of the injection voltage. When the SS...

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 ...

This article introduces a novel nature-inspired algorithm called the Plum Tree Algorithm (PTA), which has biology of plum trees as its main source inspiration. The PTA was tested and validated using 24 benchmark objective functions, it further applied compared to following selection representative state-of-the-art, algorithms: Chicken Swarm Optimization (CSO) algorithm, Particle (PSO) Grey Wolf...

Over the last few years, Convolution Neural Networks (CNN) have shown dominant performance over real world applications due to their ability find good solutions and deal with image data. However is highly dependent on network architecture methods for optimizing hyper parameters especially number size of filters. Designing a CNN requires human expertise domain knowledge. So, it difficult in suff...

<p>One of the greatest techniques, inductive coupling is frequently utilized in biomedical sector for wireless energy transfer to implants. The aim this article develop and analyze effect inductor geometrical characteristics, distance between transmitter (TX) receiver (RX) also operating frequency on power system, using grey wolf optimizer-based cuckoo search (GWO-CS) algorithm. Power eff...

Community discovery (CD) under complex networks is a hot discussion issue in network science research. Recently, many evolutionary methods have been introduced to detect communities of networks. However, optimization-based community still suffers from two problems. First, the initialization population quality current algorithm not good, resulting slow convergence speed, and final performance ne...

This study aims to present a novel Self-regulating and Intelligence Meta-Heuristic-Fuzzy approach (As Methodological Contribution) for integrated optimal Human Resource Allocation (HRA) in normal critical conditions at SMEs Conceptual Contribution). In this research, mathematical model of human resource allocation problem is presented, then Sugeno Fuzzy Inference (SFI) used the tasks rate adjus...

Due to the large size of conventional electrical power transmission systems and number uncertainties involved, achieving most favourable Transmission Expansion Planning solution turns out be almost impossible. The proposed method intends develop a novel solve problems in electric incorporating renewable energy sources like wind turbines Photo Voltaic array using IEEE 24 Reliability Test System....