Evolutionary Optimization Algorithms (PDF)
(Sprache: Englisch)
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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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.
Autoren-Porträt von Altaf Q. H. Badar
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).
Bibliographische Angaben
- Autor: Altaf Q. H. Badar
- 2021, 1. Auflage, 273 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000462145
- ISBN-13: 9781000462142
- Erscheinungsdatum: 29.10.2021
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 24 MB
- Ohne Kopierschutz
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Sprache:
Englisch
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