This study proposes a new metaheuristic algorithm called sand cat swarm optimization
(SCSO) which mimics the sand cat behavior that tries to survive in nature. These cats are …

Rockburst can cause significant damage to infrastructure and equipment, and pose a
substantial risk to the safety of mine workers. Effective prediction of short-term rockburst …

The purpose of this study is to utilize reinforcement learning in order to improve the
performance of the Sand Cat Swarm Optimization algorithm (SCSO). In this paper, we …

This study provides an in-depth review and analysis of the Artificial Rabbit Optimization
(ARO) algorithm inspired by the survival strategies of rabbits. The ARO tries to find the global …

Abstract The Sand Cat Swarm Optimization (SCSO) algorithm is a recently introduced
metaheuristic with balanced behavior in the exploration and exploitation phases. However, it …

In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …

Abstract The Young's Double-Slit Experiment (YDSE) optimizer is a newly developed swarm
intelligence algorithm inspired by Young's double-slit experiment that reveals the wave …

This article presents an approach to design a non‐uniformly excited linear array antenna
(LAA) and an alternate solution to LAAs in the form of time‐modulated linear arrays (TMLA) …

Herein, by using 3D printing technology and data‐driven surrogate model‐assisted
optimization method, design of a ceramic material‐based nonuniform nonplanar microstrip …

Software reliability growth models (SRGMs) are universally admitted and employed for
reliability assessment. The process of software reliability analysis is separated into two …