Presents new models and optimization techniques to make engineering tasks more logical, efficient and effective
Covers the design optimization aspect of many engineering disciplines
Includes algorithms and computer codes for different versions of TLBO algorithms
Presents new models and optimization techniques to make engineering tasks more logical, efficient and effective
Covers the design optimization aspect of many engineering disciplines
Includes algorithms and computer codes for different versions of TLBO algorithms
Includes supplementary material: sn.pub/extras
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.
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.
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.
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.
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.
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.
Über 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.
Inhaltsverzeichnis
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.
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.
Presents new models and optimization techniques to make engineering tasks more logical, efficient and effective
Covers the design optimization aspect of many engineering disciplines
Includes algorithms and computer codes for different versions of TLBO algorithms
Includes supplementary material: sn.pub/extras
