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Achieving a better solution or improving the performance of existing system design is an ongoing process for which scientists, engineers, mathematicians and researchers have been striving for many years. The purpose of this book is to describe the fundamentals, background and theoretical concepts of optimization principles in a comprehensive manner, along with their potential applications and implementation strategies. Focus is on case studies and real time applications as well as current research directions. Useful for a wide spectrum of target readers including students and researchers in academia and industry, discussion on linear programming is included, along with multi-variable methods for risk assessment, nonlinear methods, ant colony optimization, particle swarm optimization, multi-criterion and topology optimization, learning classifier, case studies on six sigma, performance measures and evaluation, multi-objective optimization problems, machine learning approaches, genetic algorithms and quality of service optimizations.
Über die Autorin bzw. den Autor: Dr G R Sinha is working as Adjunct Professor at International Institute of Information Technology, Bangalore, currently deputed as Professor at Myanmar Institute of Information Technology, Mandalay. He obtained his B.E. and M.Tech. with Gold Medal from National Institute of Technology, Raipur and his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University, Bhilai. He has published over 200 research papers in various international and national journals and conferences, is an active reviewer and editorial member of numerous international journals and has authored or edited six books.
Titel: Modern Optimization Methods for Science, ...
Verlag: Institute of Physics Publishing, GB
Erscheinungsdatum: 2019
Einband: Hardback
Zustand: New