The International Journal of Industrial Electronics, Control and Optimization (IECO) is an international peer-reviewed open-access quarterly journal devoted to the fields of industrial electronics, control and optimization, published by the University of Sistan and Baluchestan and is scientifically sponsored by the Iranian Association of Electrical and Electronic Engineers (IAEEE). The International Journal of Industrial Electronics, Control and Optimization (IECO) publishes original research articles that present emerging trends and practices in industrial electronics product research and development. Its scope encompasses the applications of industrial electronics, power systems, control, optimization, and computational intelligence for the enhancement of industrial and manufacturing systems and processes. It is an interdisciplinary journal devoted to the publication of original articles, key insights, review articles, etc., considering the research ethics and academic rules and regulations.

The scope of the journal includes the following:

I. Industrial Electronics

  1. Low and high power converters
  2. Renewable energy
  3. Drive control techniques
  4. Techniques for advanced power semiconductor devices
  5. Power quality and utility applications
  6. Communications
  7. Flexible AC Transmission Systems (FACTS)
  8. Control in power electronics
  9. Electromagnetic and thermal performance of electronic power converters
  10. Motion control, robotics, sensors, and actuators
  11. Fault detection and diagnosis
  12. Power systems
  13. Factory automation, communication, and computer networks

II. Control

  1. Adaptive control
  2. Control of process systems
  3. Control theory
  4. Data processing
  5. Design of control systems
  6. Hybrid systems
  7. Identification and observation
  8. Intelligent systems
  9. Model-predictive control
  10. Optimal control 
  11. Robust control
  12. Fractional order systems

III. Optimization

  1. Ant Colony
  2. Chaos Theory
  3. Evolutionary Computing
  4. Fuzzy Computing
  5. Hybrid Methods
  6. Immunological Computing
  7. Neuro Computing
  8. Particle Swarm
  9. Probabilistic Computing
  10. Rough Sets
  11. Wavelet