Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …

The design and performance evaluation of a grey wolf optimizer (GWO) aided rank-sum-
weight method based proportional-integral-derivative regulator with derivative filter for …

Accurately identifying viruses from bacteria determine the therapy and outcome of patients
suffering from pneumonia. This study focuses on exploring the capability of machine …

An algorithm is sensitive to parameters; different parameter settings for solving optimization
problems can thus have a serious impact on algorithm performance. This leads to an …

This paper proposes an enhancement to the Harris' Hawks Optimisation (HHO) algorithm.
Firstly, an enhanced HHO (EHHO) model is developed to solve single-objective optimisation …

To successfully implement low-salinity polymer flooding in heterogeneous heavy oil
reservoirs, it is crucial to comprehend the interactions between salinity, polymer properties …

This study proposes an efficient metaheuristic algorithm called the Artemisinin Optimization
(AO) algorithm. This algorithm draws inspiration from the process of artemisinin medicine …

Balancing the convergence and diversity of the population is crucial for solving multi-
objective problems. As the number of objectives increases, the inherent conflict between …

Abstract The Cloud Manufacturing Service Composition and Scheduling (CMfg-SCS) are
essential processes in cloud manufacturing. Flexible Manufacturing Services (FMS), such as …

Many‐objective evolutionary algorithms (MaOEAs) consisted of environmental selection and
reproduction operator. However, few studies focus on how to design reproduction operators …