Algorithm design is crucial for effective problem-solving across various domains. The advent
of Large Language Models (LLMs) has notably enhanced the automation and innovation …

Copper is a trace element required by the organism, but once the level of copper exceeds the
threshold, it becomes toxic and even causes death. The underlying mechanisms of copper-…

This paper aims to provide a solution method for the real-world hybrid flowshop scheduling
problem resulting from a steelmaking process, which has important applications in modern …

Although Co and N codoped carbon (Co-NC) materials could be served as the promising
oxygen reduction reaction (ORR) electrocatalysts, they still suffer from unsatisfactory catalytic …

In this study, we propose a hybrid fruit fly optimization algorithm (HFOA) to solve the hybrid
flowshop rescheduling problem with flexible processing time in steelmaking casting systems. …

The hot deformation behavior of Ti-15-3 titanium alloy was investigated by hot compression
tests conducted in the temperature range 850–1150 C and strain rate range 0.001–10 s −1 . …

In this study, we proposed a discrete teaching-learning-based optimisation (DTLBO) for
solving the flowshop rescheduling problem. Five types of disruption events, namely machine …

In this paper, the dynamical behaviors of an SEIR epidemic system governed by differential
and algebraic equations with seasonal forcing in transmission rate are studied. The cases of …

This paper presents an effective fruit fly optimisation algorithm (FOA) to solve the
steelmaking casting problem. First, we model the realistic problem as a hybrid flow shop (HFS) …

High volumetric performance is a challenging issue for carbon‐based electrical double‐layer
capacitors (EDLCs). Herein, collapsed N,S dual‐doped carbon nanocages (cNS‐CNC) are …