GitHub

EoH: Evolution of Heuristics

A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
GitHub

Sequential Decision Analytics + Chaos / Regime Control + LLM Training

The aim is to produce small, reproducible experiments that demonstrate qualitative improvements in stability, calibration, or reasoning—not to compete with commercial LLMs. State: model parameters, ...
Nature

Adaptive tuning of fractional order PID controllers for nonlinear processes using hybrid PSO DQN reinforcement learning

This study presents an innovative adaptive non-linear fractional-order PID (FOPID) tuning methodology for a flow meter controller in a desalination plant, integrating a hybrid Particle Swarm ...
Nature

Optimized extreme learning machines with deep learning for high-performance network traffic classification

The exponential growth in network users and applications, coupled with increasing dependence on networked systems, has elevated network security to a paramount concern for service providers and ...
C&EN

Optimal Control of Specification in LPG Blend: A Deep Learning and PSO−Driven Framework for Minimizing Off-Spec Production

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Liquefied Petroleum Gas (LPG) is a crucial energy source, widely utilized in ...
C&EN

Photonic-Enhanced Perovskite Solar Cells: Tailoring Color and Light Capture

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The current unsustainable energy consumption of society paved ...