Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …

The accurate prediction of power load is helpful to make reasonable power generation plans
and scientific dispatching schemes and achieve the goal of energy saving and emission …

Product reuse and recovery is an efficient tool that helps companies to simultaneously
address economic and environmental dimensions of sustainability. This paper presents a …

Particle swarm optimization (PSO) has been used extensively in numerical and engineering
optimization problems in the last decades. However, due to drawbacks such as a single …

The classification problem is an important research topic in machine learning and data
mining. Feature selection can remove irrelevant and redundant features and improve …

One of the most widely referenced Swarm Intelligence (SI) algorithms is the Grey Wolf
Optimizer (GWO), which is based on the pack hunting and natural leadership organization of …

Metaheuristic optimization algorithms play a crucial role in optimization problems. However,
the traditional identification methods have the following problems:(1) difficulties in nonlinear …

Abstract The Tree Seed Algorithm (TSA) is a popular meta-heuristic algorithm that excels in
solving optimization problems. However, TSA has some structural deficiencies and certain …

This paper provides a comprehensive review of optimization techniques for coordinating
directional overcurrent relays in power systems. It covers a wide range of techniques …

Since Grey Wolf Optimizer (GWO) first introduction, it continues to be used extensively today,
owing to its simplicity, easy handling, and applicability to a wide range of problems …