Teaching Learning Based Optimization Algorithm: And Its Engineering Applications - Hardcover

Über die Autorin bzw. den Autor

Dr. R. Venkata Rao is a Professor in the Department of Mechanical Engineering, S.V. National Institute of Technology, Surat, India. He has more than 25 years of teaching and research experience. He was deputed thrice to the Asian Institute of Technology, Bangkok, Thailand as a visiting Professor. He gained his B.Tech in 1988, M.Tech in 1991, and Ph.D. in 2002. Dr. Rao's research interests include: CAD/CAM, CIMS, advanced optimization methods, and fuzzy multiple attribute decision making methods. He has published about 300 research papers in national and international journals and conference proceedings and received national and international awards for best research work. He has been a reviewer to many national and international journals and on the editorial boards of few International journals. He had already authored four books entitled “Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods (Volume 1 (2007) and Volume 2 (2013))” and “Advanced Modeling and Optimization of Manufacturing Processes: International Research and Development (2010)” and “Mechanical Design Optimization Using Advanced Optimization Techniques (2012)” and all these books were published by Springer Verlag, UK.

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Describing a newoptimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in aclear and lucid style, this book maximizes reader insights into how the TLBOalgorithm can be used to solve continuous and discrete optimization problemsinvolving single or multiple objectives.

As the algorithm operateson the principle of teaching and learning, where teachers influence the qualityof learners results, the elitist version of TLBOalgorithm (ETLBO) is described along with applications of the TLBO algorithm inthe fields of electrical engineering, mechanical design, thermal engineering,manufacturing engineering, civil engineering, structural engineering, computerengineering, electronics engineering, physics and biotechnology.

The book offers a valuableresource for scientists, engineers and practitioners involved in thedevelopment and usage of advanced optimization algorithms.