Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It
has been widely tailored for a wide variety of optimization problems due to its impressive …

Today, finding a viable solution for any real world problem focusing on combinatorial of
problems is a crucial task. However, using optimisation techniques, a viable best solution for …

Support vector machine (SVM) is considered to be one of the most powerful learning
algorithms and is used for a wide range of real-world applications. The efficiency of SVM …

Abstract This paper describes Grey Wolf Optimizer (GWO) as a nature inspired metaheuristic
algorithm. GWO is proposed in 2014. The leadership hierarchy and hunting behavior of the …

Landslide susceptibility analysis is beneficial information for a wide range of applications,
including land use management plans. The present attempt has shed light on an efficient …

As a crucial and widely used component in industrial fields with great complexity, the health
condition of rotating machinery is directly related to production efficiency and safety …

Data-intelligent methods designed for forecasting the streamflow of the Fenhe River are
crucial for enhancing water resource management. Herein, the gated recurrent unit (GRU) is …

目的: 建立快速无损检测菠萝含水率的方法. 方法: 提出一种基于连续投影法的特征波长选择和
麻雀搜索算法(SSA) 优化正则化极限学习机(RELM) 的菠萝含水率检测模型 …

To design an efficient partial differential equation-based total variation method for denoising
and possibilistic fuzzy c-means clustering algorithm for segmentation and these methods …

In this work, an approach is proposed to solve binary combinatorial problems using
continuous metaheuristics. It focuses on the importance of binarization in the optimization …