Call for Papers:  

Special Session on Applications of Multi-Objective Optimization in Electronic Circuits, Industrial Processes, and Experiments

With the increasing complexity and integration of modern electronic systems and industrial processes, multi-objective optimization has emerged as a crucial technique for achieving high performance, efficiency, and reliability. Traditional optimization methods often fall short in addressing the multiple, often conflicting, objectives that arise in circuit design, integrated circuit manufacturing, industrial process control, and experimental setups. The integration of advanced optimization algorithms, such as evolutionary algorithms, multi-objective optimization frameworks, and machine learning techniques, offers new possibilities for tackling these challenges. This special session aims to gather researchers, engineers, and educators to explore the latest advancements, practical applications, and innovative solutions in the field of multi-objective optimization across circuit electronics, integrated circuits, industrial processes, and related experimental devices and teaching practices. We invite submissions that address both theoretical and practical aspects of this interdisciplinary field.

Topics of Interest

Topics include but are not limited to:

- Multi-Objective Optimization in Analog and Digital Circuit Design

- Evolutionary Algorithms for Integrated Circuit Synthesis and Optimization

- Multi-Objective Optimization in Industrial Process Control and Automation

- Experimental Device Optimization for Precision Measurements

- Multi-Objective Optimization in Experimental Teaching and Curriculum Development

- Machine Learning Techniques for Enhancing Optimization in Electronics and Industry

- Real-Time Multi-Objective Optimization in Dynamic Systems

- Multi-Objective Optimization for Energy Efficiency in Electronics and Industrial Processes

- Optimization Algorithms for High-Speed and High-Precision Circuit Applications

- Case Studies and Practical Applications of Multi-Objective Optimization

- Innovative Teaching Methods Using Multi-Objective Optimization in Electronics and Industrial Education

Keywords

Multi-Objective Optimization; Electronic Circuits; Integrated Circuits; Industrial Processes; Experimental Devices; Experimental Teaching; Evolutionary Algorithms; Machine Learning; Optimization Algorithms

‌Organizer: Hua Yicun, College of Information Science and Technology, Donghua University

E-mail：huayicun@dhu.edu.cn