Modern Optimization Methods for Science, Engineering and Technology
Contributions by Sirajuddin Ahmed, Rajesh Chamorshikar, Siddharth Choubey, Abha Choubey, Sien Deng, Santosh R Desai, Somesh Kumar Dewangan, Vladimir Gorbunov, Ahankru Guggari, Glenn Harris, Zar Chi Su Su Hlaing, Nadeem Ahmad Khan, Vandana Khare, Myo Khiang, Ajay Kulkarni, Rahul Kumar, Bonya Mukherjee, Kapil Kumar Nagwanshi, Pushkala Narasimhan, Jyotiprakash Patra, Jyothi Pillai, Rajendra Prasad, Sachin Puntambekar, Subrahmanian Ramani, K C Raveendranathan, Arpana Rawal, Mridu Sahu, Mamta Singh, Kostiantyn Tkachuk, Oksana Tverda, Viola Vambol, Sergij Vambol, K A Venkatesh Edited by G R Sinha
Publication date:
20 November 2019Publisher
Institute Of Physics PublishingISBN-13: 9780750324038
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.