Intelligent Optimization and Large Language Models

Sustainable Manufacturing

LLM as the “cognitive engine” and “interaction interface” for intelligent optimization
Traditional optimization algorithms (such as genetic algorithms and particle swarm optimization algorithms) can find solutions when dealing with complex constraints and objectives, but they often lack interpretability and rely on expert experience for parameter tuning. LLMS can act as "senior assistants".
LLM-based production-process analysis and carbon-emissions traceability
Much of the sustainability data in the manufacturing process (such as equipment logs, maintenance reports, quality inspection records, and energy bills) is unstructured text. LLMS can extract key information from it and construct a carbon footprint map covering the entire life cycle.
Human–machine collaborative sustainable design and closed-loop supply-chain optimization
Sustainability begins with product design and supply chain planning. LLMS can serve as creative partners and decision simulators.
Real-time energy management and scheduling based on LLM + IO
Optimize and schedule all energy-consuming units of the entire factory, including machine tools, air conditioners, lighting, etc., as a whole. LLM is responsible for prediction and understanding, while IO is responsible for calculation and decision-making.

Explore The World

By integrating the cognitive and linguistic capabilities of Large Language Models (LLMs) with the computational power of Intelligent Optimization (IO), we can create holistic AI solutions that empower manufacturers to make smarter, data-driven decisions for enhanced sustainability, efficiency, and cost savings across their entire operation.

Our Services

Workshops and Training

2023 AUTUMN SCHOOL

Publications

Journal of Command and Control

IEEE SMC Conference Introduction

The IEEE Systems, Man, and Cybernetics (SMC) Conference, organized by the IEEE Systems, Man, and Cybernetics Society, is a premier annual event fostering interdisciplinary innovation in intelligent systems, human-machine collaboration, and cybernetic technologies. As a global platform for academia and industry, it bridges cutting-edge research with real-world applications in fields like autonomous systems, 6G communication, industrial IoT, and explainable AI.