Computational Intelligence in Mechatronics

Solving real-world problems in electronic systems design

Mohamed Arezki Mellal (Herausgeber)

Buch | Softcover

350 Seiten

2026
Elsevier - Health Sciences Division (Verlag)
978-0-443-27580-7 (ISBN)

Infos

The convergence of computational intelligence (CI) and applied electronics has heralded a new era of innovation and advancement in various fields. Computational intelligence techniques, including artificial neural networks, fuzzy logic, evolutionary algorithms, and swarm intelligence, offer powerful tools for solving complex problems in applied electronics. From optimizing circuit designs to enhancing signal processing algorithms, CI has demonstrated its efficacy in addressing challenges across diverse domains such as telecommunications, consumer electronics, renewable energy systems, and medical devices. As the demand for intelligent electronic systems continues to grow, understanding and harnessing the potential of computational intelligence becomes imperative for researchers, engineers, and practitioners in the field of applied electronics. Computational Intelligence in Mechatronics provides a comprehensive exploration of the diverse applications of computational intelligence in the realm of applied electronics. By compiling cutting-edge research and practical case studies, this book bridges the gap between theory and practice, offering insights into how CI techniques can be effectively utilized to solve real-world problems in electronic systems design, analysis, and optimization. Through a combination of theoretical foundations, algorithmic implementations, and practical examples, the reader will gain a deeper understanding of the potential benefits and limitations of CI in various applications within the field of applied electronics.

Autor

Prof. Mellal is a Professor at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Boumerdes, Algeria. He was temporarily associated with Teaching and Research (ATER) at the Department of Industrial Engineering and Maintenance, University Institute of Technology Louis Pasteur, University of Strasbourg, France. He is affiliated to the LMSS Laboratory (Solid Mechanics and Systems Laboratory, M’Hamed Bougara University, Algeria) and was affiliated to the Control, Vision and Robotics team of the ICube Laboratory (The Engineering Science, Computer Science and Imaging Laboratory, University of Strasbourg, France). Prof Mellal has contributed to papers on reliability and cost optimization of fuel cell systems, heat and power dispatch using flower pollination algorithms, and heterogeneous components in pharmaceutical production plants, among many others.

Inhalt

1, Design and Optimization of Electronic Components using Genetic Algorithms
2. Embedded Systems Design: Challenges and Innovations Using Computational Intelligence
3. Medical Device Development and Optimization Techniques : A Review
4. Optimization of Energy Consumption in Unmanned Aerial Vehicles (UAVs) using Particle Swarm Optimization
5. Signal Processing Techniques for Advanced Embedded Communication Systems
6. Fault Diagnosis in Electronic Systems Using Computational Intelligence: State-of-the-Art Approaches
7. Prognostics and Health Management in Electronic Devices by Deep Learning
8. Lifetime and Lifecycle Prediction of Electronic Components using Machine Learning
9. Obsolescence Replacement Strategies: A Systematic Approach based on Computational Intelligence
10. Genetic Algorithms in Circuit Design Optimization
11. Particle Swarm Optimization for Efficient Embedded System Design
12. Advanced Signal Processing Techniques using Artificial Neural Networks
13. Application of Ant Colony Optimization in UAV Routing and Control
14. Fuzzy Logic Applications in Medical Device Design and Optimization
15. Brain-Inspired Computing for Enhanced Embedded Systems
16. Hybrid Optimization Techniques for Fault Diagnosis in Electronic Circuits
17. Designing Efficient Medical Devices using Differential Evolution
18. Cuckoo Algorithm for Lifecycle Prediction of Electronic Components
19. Artificial Bee Colony Optimization for UAV Mission Planning
20. Integrating Fuzzy Logic with Artificial Neural Networks for Signal Processing Applications

Produkt-Details

• Erscheint lt. Verlag: 1.7.2026
• Verlagsort: Philadelphia
• Sprache: englisch
• Maße: 191 x 235 mm
• Gewicht: 450 g
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• ISBN-10: 0-443-27580-7 / 0443275807
• ISBN-13: 978-0-443-27580-7 / 9780443275807
• Zustand: Neuware