Springer Advanced Engineering Optimization Through Intelligent Techniques: Select Proceedings of AEOTIT 2018: 949 (Advances in Intelligent Systems and Computing, 949)

Product Description This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.  From the Back Cover This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.  About the Author Dr. R. Venkata Rao is a Professor at the Department of Mechanical Engineering, S. V. National Institute of Technology, Surat, India. He has more than 28 years of teaching and research experience. He completed his B.Tech. in 1988, M.Tech. in 1991, Ph.D. in 2002, and obtained his D.Sc. in 2017. Dr. Rao’s research interests include: advanced optimization algorithms and their applications to design, thermal and manufacturing engineering, and fuzzy multiple attribute decision-making (MADM) methods and their industrial applications. He has more than 300 research papers to his credit, published in national and international journals and conference proceedings. He has received national and international awards for his research efforts. He is a reviewer for more than 80 national and international journals and serves on the editorial boards of several international journals. He has also been a Visiting Professor at Cracow University of Technology, Poland in January 2016, November 2016, and June 2018, at BITS Pilani Dubai campus in 2017, and at the Asian Institute of Technology, Bangkok in 2008, 2010, 2015 and 2018. He has authored six 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)), “Advanced Modeling and Optimization of Manufacturing Processes: International Research and Development” (2010), “Mechanical Design Optimization Using Advanced Optimization Techniques” (2012), “Teaching-Learning-Based Optimization Algorithm And Its Engineering Applications” (2016), and “Jaya: An Advanced Optimization Algorithm And Its Engineering Applications” (2018), all of which were published by Springer. Dr. Jan Taler is a Professor and Director of the Institute of Thermal Power Engineering of Cracow University of Technology, Poland. He has more than 40 years of teaching and research experience, having completed his