Waste household appliances contain hazardous substances and valuable components. The
timely disposal of these waste products can avoid environmental pollution and improve the …

A novel meta-heuristic algorithm named Egret Swarm Optimization Algorithm (ESOA) is
proposed in this paper, which is inspired by two egret species' hunting behavior (Great Egret …

Currently, solar energy is one of the leading renewable energy sources that help support
energy transition into decarbonized energy systems for a safer future. This work provides a …

The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …

In recent years, the optimization community has witnessed a surge in the popularity of
population-based optimization methods. However, many of these methods suffer from …

In this paper, a novel outlier detection method is proposed for industrial data analysis based
on the fuzzy C-means (FCM) algorithm. An adaptive switching randomly perturbed particle …

Emergency evacuation is viewed as a common strategy adopted during the disaster
preparedness stage of evacuation to ensure the safety of potentially affected populations. In …

Along with the growing size of the power system, the inspection and maintenance of power
lines and facilities in complicated environments will be put to a greater test. Currently, more …

Abstract Underwater Robots such as Autonomous Underwater Vehicles (AUVs) and
Remotely Operated Vehicles (ROVs) has played an important role in many tasks, such as …

This study presents an autoencoder-embedded optimization (AEO) algorithm which involves
a bi-population cooperative strategy for medium-scale expensive problems (MEPs). A huge …