Describing a new optimization algorithm, the "Teaching-Learning-Based Optimization (TLBO)," in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives.
As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners' results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology.The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.
Autorentext
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.
Klappentext
Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives.
As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners' results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology.The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.
Inhalt
Introduction to optimization.- Advanced optimization techniques.- Elitist and Modified TLBO algorithms.- Applications of proposed E-TLBO and M-TLBO algorithms on constrained and unconstrained benchmark functions.- Design optimization of heat exchangers.- Design optimization of rotary regenerators.- Design optimization of cooling tower.- Optimization of combined Brayton and inverse Brayton cycle.- Design optimization of two-stage thermoelectric cooler.- Process parameter optimization of manufacturing processes using TLBO algorithm.- Design optimization of machine elements using TLBO algorithm and its versions.- Applications of TLBO algorithm in electrical engineering discipline.- Applications of TLBO algorithm in computer engineering discipline.- Applications of TLBO algorithm in civil and structural engineering disciplines.- Concluding remarks.