Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)
Springer, India, Private Ltd (Verlag)
978-81-322-1037-5 (ISBN)
Dr. Jagdish Chand Bansal is an Assistant Professor with the South Asian University New Delhi, India. Holding an excellent academic record, he is a budding researcher in the field of Swarm Intelligence at the International Level. Dr. Pramod Kumar Singh is an Associate Professor with the ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is an active researcher and has earned a reputation in the areas of Nature-Inspired Computing, Multi-/Many-Objective Optimization, and Data Mining. Dr. Kusum Deep is a Professor with the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well-cited making her a central International figure in the area of Bio-Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization. Dr. Millie Pant is an Associate Professor with the Department of Paper Technology, Indian Institute of Technology, Roorkee, Roorkee, India. At this age, she has earned a remarkable International reputation in the area of Genetic Algorithms, Differential Algorithms and Swarm Intelligence. Prof. Atulya Nagar is the Professor and Head of Department of Mathematics and Computer Science at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognized scholar working at the cutting edge of theoretical computer science, natural computing, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations.
Preface.- Table of Contents.- About the editors.- Organizing Committee.- Papers.- Author Index.
| Reihe/Serie | Advances in Intelligent Systems and Computing ; 201 |
|---|---|
| Zusatzinfo | 202 Illustrations, black and white; XIX, 556 p. 202 illus. |
| Verlagsort | New Delhi |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Artificial Neural Network • BIC-TA 2012 • Computational Intelligence • evolutionary algorithms • Nature/Bio-inspired Computing • Soft Computing |
| ISBN-10 | 81-322-1037-9 / 8132210379 |
| ISBN-13 | 978-81-322-1037-5 / 9788132210375 |
| Zustand | Neuware |
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