Altaf Q. H. Badar

Evolutionary Optimization Algorithms (eBook, PDF)

• Format: PDF

Produktbeschreibung

The text covers evolutionary optimizing algorithms with the help of MATLAB and Python programming in a comprehensive manner. It will be an ideal reference text for readers in diverse engineering fields including electrical, electronics and communication, computer science and mechanical engineering.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 273
• Erscheinungstermin: 29. Oktober 2021
• Englisch
• ISBN-13: 9781000462142
• Artikelnr.: 62463148

Autorenporträt

Altaf Q. H. Badar is currently working as an assistant professor, department of electrical engineering, National Institute of Technology, Warangal. His research areas include artificial intelligence applications to power systems, evolutionary optimization techniques, and smart home energy management systems. He has taught courses including electric and magnetic fields, and real-time control of power systems. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Indian Society for Technical Education (ISTE).

Inhaltsangabe

1. Introduction. 2. Optimization Functions. 3. Genetic Algorithm. 4.
Differential Evolution. 5. Particle Swarm Optimization. 6. Artificial Bee
Colony. 7. Shuffled Frog Leaping Algorithm. 8. Grey Wolf Optimizer. 9.
Teaching Learning Based Optimization. 10. Introduction to Other
Optimization Techniques. 11. Real Time Application of PSO. 12. Optimization
Techniques in Python. 13. Standard Optimization Problems. 14. Bibliography.